Usage of Metaheuristics in Engineering: A Literature Review

[1]  Kris Vasudevan,et al.  APPLICATION OF THE GENETIC ALGORITHM TO RESIDUAL STATICS ESTIMATION , 1991 .

[2]  Nihan Çetin Demirel,et al.  Optimization of the quadratic assignment problem using an ant colony algorithm , 2006, Appl. Math. Comput..

[3]  S. A. MirHassani,et al.  A particle swarm optimization algorithm for open vehicle routing problem , 2011, Expert Syst. Appl..

[4]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[5]  Chandrasekharan Rajendran,et al.  A multi-objective simulated-annealing algorithm for scheduling in flowshops to minimize the makespan and total flowtime of jobs , 2005, Eur. J. Oper. Res..

[6]  A. Cockshott,et al.  Improving the fermentation medium for Echinocandin B production part II: Particle swarm optimization , 2001 .

[7]  Aybars Ugur,et al.  An interactive simulation and analysis software for solving TSP using Ant Colony Optimization algorithms , 2009, Adv. Eng. Softw..

[8]  Saeed Zolfaghari,et al.  A comparative study of a new heuristic based on adaptive memory programming and simulated annealing: The case of job shop scheduling , 2007, Eur. J. Oper. Res..

[9]  Shigeru Obayashi,et al.  Multidisciplinary design optimization of aircraft wing planform based on evolutionary algorithms , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[10]  M. Marchese,et al.  An ant colony optimization method for generalized TSP problem , 2008 .

[11]  Peter J. Fleming,et al.  Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[12]  S. Agatonovic-Kustrin,et al.  Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. , 2000, Journal of pharmaceutical and biomedical analysis.

[13]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[14]  S. Rehman,et al.  Artificial neural network estimation of global solar radiation using air temperature and relative humidity , 2008 .

[15]  Robert J. Marks,et al.  Electric load forecasting using an artificial neural network , 1991 .

[16]  Bin Jiao,et al.  A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan , 2006, Appl. Math. Comput..

[17]  Bernd Schneider,et al.  Parameter Optimisation of an Image Processing System Using Evolutionary Algorithms , 1997, CAIP.

[18]  Yu Xu,et al.  Simulated annealing and tabu search for multi-mode project payment scheduling , 2009, Eur. J. Oper. Res..

[19]  Pin Luarn,et al.  A discrete version of particle swarm optimization for flowshop scheduling problems , 2007, Comput. Oper. Res..

[20]  Andrea Rossi,et al.  Flexible job-shop scheduling with routing flexibility and separable setup times using ant colony optimisation method , 2007 .

[21]  Thomas Stützle,et al.  An Ant Approach to the Flow Shop Problem , 1998 .

[22]  Abdelghani Souilah,et al.  Simulated annealing for manufacturing systems layout design , 1995 .

[23]  Marcello Braglia,et al.  Optimisation of a Simulated-Annealing-based Heuristic for Single Row Machine Layout Problem by Genetic Algorithm , 1996 .

[24]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[25]  Sung-Bae Cho,et al.  Application of interactive genetic algorithm to fashion design , 2000 .

[26]  Imtiaz Ahmad,et al.  Particle swarm optimization for task assignment problem , 2002, Microprocess. Microsystems.

[27]  Yanbin Yuan,et al.  Improved hybrid simulated annealing algorithm for navigation scheduling for the two dams of the Three Gorges Project , 2008, Comput. Math. Appl..

[28]  O. Şenkal,et al.  Estimation of solar radiation over Turkey using artificial neural network and satellite data , 2009 .

[29]  Gerald Paul,et al.  Comparative performance of tabu search and simulated annealing heuristics for the quadratic assignment problem , 2010, Oper. Res. Lett..

[30]  Wei-Chang Yeh,et al.  Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm , 2011, Appl. Soft Comput..

[31]  Amit Konar,et al.  An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters , 2005, GECCO '05.

[32]  Jean-Loup Farges,et al.  Optimizing and assigning price levels for air traffic management , 2002 .

[33]  Marc Gravel,et al.  Comparing an ACO algorithm with other heuristics for the single machine scheduling problem with sequence-dependent setup times , 2002, J. Oper. Res. Soc..

[34]  Zhen-Ping Lo,et al.  Optimization of job scheduling on parallel machines by simulated annealing algorithms , 1992 .

[35]  M Dorigo,et al.  Ant colonies for the travelling salesman problem. , 1997, Bio Systems.

[36]  Fuat Erbatur,et al.  Layout optimisation of trusses using simulated annealing , 2002 .

[37]  T. Y. Wang,et al.  A simulated annealing algorithm for facility layout problems under variable demand in Cellular Manufacturing Systems , 2001, Comput. Ind..

[38]  G. P. McKeown,et al.  Scheduling a manufacturing plant using simulated annealing and simulation , 1999 .

[39]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[40]  Zhiming Wu,et al.  An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems , 2005, Comput. Ind. Eng..

[41]  Mohammed E. El-Telbany,et al.  Short-term forecasting of Jordanian electricity demand using particle swarm optimization , 2008 .

[42]  Kyung-shik Shin,et al.  A genetic algorithm application in bankruptcy prediction modeling , 2002, Expert Syst. Appl..

[43]  Ana S. Simaria,et al.  2-ANTBAL: An ant colony optimisation algorithm for balancing two-sided assembly lines , 2009, Comput. Ind. Eng..

[44]  Sam Kwong,et al.  Gbest-guided artificial bee colony algorithm for numerical function optimization , 2010, Appl. Math. Comput..

[45]  Jun Li,et al.  Modeling of a proton exchange membrane fuel cell based on the hybrid particle swarm optimization with Levenberg-Marquardt neural network , 2010, Simul. Model. Pract. Theory.

[46]  D. Y. Sha,et al.  A new particle swarm optimization for the open shop scheduling problem , 2008, Comput. Oper. Res..

[47]  S. Binato,et al.  Transmission network expansion planning under a Tabu Search approach , 2001 .

[48]  F. Frank Chen,et al.  Unrelated parallel machine scheduling with setup times using simulated annealing , 2002 .

[49]  Luciano Lamberti,et al.  Improved global–local simulated annealing formulation for solving non-smooth engineering optimization problems , 2005 .

[50]  Ismail Hakki Cedimoglu,et al.  The strategies and parameters of tabu search for job-shop scheduling , 2004, J. Intell. Manuf..

[51]  Fred Glover Adaptive Memory Projection Methods for Integer Programming , 2005 .

[52]  Ihsan Sabuncuoglu,et al.  Ant colony optimization for the single model U-type assembly line balancing problem , 2009 .

[53]  Bertrand M. T. Lin,et al.  Ant colony optimization for dynamic routing and wavelength assignment in WDM networks with sparse wavelength conversion , 2011, Eng. Appl. Artif. Intell..

[54]  Richard Y. K. Fung,et al.  Integrated process planning and scheduling by an agent-based ant colony optimization , 2010, Comput. Ind. Eng..

[55]  Luca Maria Gambardella,et al.  Solving symmetric and asymmetric TSPs by ant colonies , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[56]  Mohammad Kazem Sheikh-El-Eslami,et al.  Price forecasting of day-ahead electricity markets using a hybrid forecast method , 2011 .

[57]  Kwok-wing Chau,et al.  Particle Swarm Optimization Training Algorithm for ANNs in Stage Prediction of Shing Mun River , 2006 .

[58]  Marcos Ribeiro Pereira Barretto,et al.  A solution to the facility layout problem using simulated annealing , 1998 .

[59]  Anthony J. Jakeman,et al.  Artificial Intelligence techniques: An introduction to their use for modelling environmental systems , 2008, Math. Comput. Simul..

[60]  José Brandão A new tabu search algorithm for the vehicle routing problem with backhauls , 2006, Eur. J. Oper. Res..

[61]  R. Tavakkoli-Moghaddam,et al.  A hybrid simulated annealing for capacitated vehicle routing problems with the independent route length , 2006, Appl. Math. Comput..

[62]  Caro Lucas,et al.  Parallel scalable hardware implementation of asynchronous discrete particle swarm optimization , 2010, Eng. Appl. Artif. Intell..

[63]  Mohammad Hossein Fazel Zarandi,et al.  The multi-depot capacitated location-routing problem with fuzzy travel times , 2011, Expert Syst. Appl..

[64]  Yeo Keun Kim,et al.  Multileveled Symbiotic Evolutionary Algorithm: Application to FMS Loading Problems , 2005, Applied Intelligence.

[65]  Ajith Abraham,et al.  Chaotic dynamic characteristics in swarm intelligence , 2007, Appl. Soft Comput..

[66]  Reza Akbari,et al.  On the performance of bee algorithms for resource-constrained project scheduling problem , 2011, Appl. Soft Comput..

[67]  Mariacristina Gagliardi,et al.  Relevance of Mesh Dimension Optimization, Geometry Simplification and Discretization Accuracy in the Study of Mechanical Behaviour of Bare Metal Stents , 2010, Int. J. Comput. Model. Algorithms Medicine.

[68]  M. Duran Toksarı,et al.  Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey , 2009 .

[69]  Lung-Chieh Lin,et al.  Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption , 2009, Energies.

[70]  Taeyong Yang,et al.  An exchange heuristic imbedded with simulated annealing for due-dates job-shop scheduling , 1996 .

[71]  Chang-Sung Jeong,et al.  Fast parallel simulated annealing for traveling salesman problem on SIMD machines with linear interconnections , 1991, Parallel Comput..

[72]  Holger H. Hoos,et al.  Improving the Ant System: A Detailed Report on the MAX-MIN Ant System , 1996 .

[73]  Francisco Herrera,et al.  A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP , 2007, Eur. J. Oper. Res..

[74]  Patrick R. McMullen,et al.  Ant colony optimization techniques for the vehicle routing problem , 2004, Adv. Eng. Informatics.

[75]  Rui Zhang,et al.  A hybrid immune simulated annealing algorithm for the job shop scheduling problem , 2010, Appl. Soft Comput..

[76]  Mehmet Fatih Tasgetiren,et al.  A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops , 2011, Inf. Sci..

[77]  Luca Maria Gambardella,et al.  An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem , 2000, INFORMS J. Comput..

[78]  Minghe Sun,et al.  A tabu search heuristic procedure for the fixed charge transportation problem , 1998, Eur. J. Oper. Res..

[79]  Kenji Itoh,et al.  Minimizing makespan for flow shop scheduling by combining simulated annealing with sequencing knowledge , 1995 .

[80]  Aparecido Nivaldo Módenes,et al.  Modeling of biodegradation process of BTEX compounds: Kinetic parameters estimation by using Particle Swarm Global Optimizer , 2010 .

[81]  Dervis Karaboga,et al.  A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems , 2011, Appl. Soft Comput..

[82]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[83]  Reza Tavakkoli-Moghaddam,et al.  A New Capacitated Vehicle Routing Problem with Split Service for Minimizing Fleet Cost by Simulated Annealing , 2007, J. Frankl. Inst..

[84]  Xin Yao,et al.  Robust Solution of Salting Route Optimisation Using Evolutionary Algorithms , 2006, 2006 IEEE International Conference on Evolutionary Computation.

[85]  Caliane Bastos Borba Costa,et al.  Analysis of the particle swarm algorithm in the optimization of a three-phase slurry catalytic reactor , 2011, Comput. Chem. Eng..

[86]  Richard W. Eglese,et al.  A deterministic tabu search algorithm for the capacitated arc routing problem , 2008, Comput. Oper. Res..

[87]  Mehmet Fatih Tasgetiren,et al.  A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem , 2011, Inf. Sci..

[88]  Massimo Paolucci,et al.  A new discrete particle swarm optimization approach for the single-machine total weighted tardiness scheduling problem with sequence-dependent setup times , 2009, Eur. J. Oper. Res..

[89]  Bilal Alatas,et al.  Chaotic bee colony algorithms for global numerical optimization , 2010, Expert Syst. Appl..

[90]  Nazish Hoda,et al.  Orthogonal simulated annealing for multiobjective optimization , 2010, Comput. Chem. Eng..

[91]  Jan Bos,et al.  Zoning in Forest Management: a Quadratic Assignment Problem Solved by Simulated Annealing , 1993 .

[92]  Fulya Altiparmak,et al.  Multi-objective optimization of a stochastic assembly line balancing: A hybrid simulated annealing algorithm , 2011, Comput. Ind. Eng..

[93]  Han Hoogeveen,et al.  Scheduling multipurpose batch process industries with no-wait restrictions by simulated annealing , 2000, Eur. J. Oper. Res..

[94]  Bin Yu,et al.  An ant colony optimization model: The period vehicle routing problem with time windows , 2011 .

[95]  Ching-Jung Ting,et al.  A simulated annealing heuristic for the capacitated location routing problem , 2010, Comput. Ind. Eng..

[96]  Roberto Schirru,et al.  Swarm intelligence of artificial bees applied to In-Core Fuel Management Optimization , 2011 .

[97]  Robert L. Bulfin,et al.  Simulated annealing for resource-constrained scheduling , 1993 .

[98]  R. Romero,et al.  Tabu search algorithm for network synthesis , 2000 .

[99]  Michael J. Shaw,et al.  A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes , 1997, IEEE Trans. Syst. Man Cybern. Part B.

[100]  Yiqiao Cai,et al.  Discrete particle swarm optimization based on estimation of distribution for terminal assignment problems , 2011, Comput. Ind. Eng..

[101]  Christian Blum,et al.  An Ant Colony Optimization Algorithm for Shop Scheduling Problems , 2004, J. Math. Model. Algorithms.

[102]  Mustafa Sonmez,et al.  Artificial Bee Colony algorithm for optimization of truss structures , 2011, Appl. Soft Comput..

[103]  Lale Özbakir,et al.  Multiple-colony ant algorithm for parallel assembly line balancing problem , 2011, Appl. Soft Comput..

[104]  Roberto Montemanni,et al.  Time dependent vehicle routing problem with a multi ant colony system , 2008, Eur. J. Oper. Res..

[105]  Betul Yagmahan,et al.  Mixed-model assembly line balancing using a multi-objective ant colony optimization approach , 2011, Expert Syst. Appl..

[106]  Ming Dong,et al.  Shortest path based simulated annealing algorithm for dynamic facility layout problem under dynamic business environment , 2009, Expert Syst. Appl..

[107]  Yskandar Hamam,et al.  Assignment of program modules to processors: A simulated annealing approach , 2000, Eur. J. Oper. Res..

[108]  Marco Dorigo,et al.  Ant colony optimization for continuous domains , 2008, Eur. J. Oper. Res..

[109]  Hui Cheng,et al.  A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks , 2009, Appl. Soft Comput..

[110]  José Brandão,et al.  A tabu search algorithm for the open vehicle routing problem , 2004, Eur. J. Oper. Res..

[111]  Ahmad Mozaffari,et al.  Optimal Arrangement of Thermoelectric Modules for Recovering the Waste Heat of Damavand Power Plant using Mutable Smart Bee and Neuro-Fuzzy System , 2013, Int. J. Appl. Metaheuristic Comput..

[112]  Christian Blum,et al.  Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.

[113]  K. Bouleimen,et al.  A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version , 2003, Eur. J. Oper. Res..

[114]  B. Babu,et al.  Optimization of process synthesis and design problems: A modified differential evolution approach , 2006 .

[115]  Thomas Stützle,et al.  MAX-MIN Ant System , 2000, Future Gener. Comput. Syst..

[116]  Alper Ünler,et al.  Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025 , 2008 .

[117]  Samuel Pierre,et al.  Assigning cells to switches in mobile networks using an ant colony optimization heuristic , 2005, Comput. Commun..

[118]  Mourad Loulou,et al.  SODAC: A Simulation-Based Tool for the Optimal Design of Analog Circuits , 2012, Int. J. Appl. Metaheuristic Comput..

[119]  El-Ghazali Talbi,et al.  Metaheuristics - From Design to Implementation , 2009 .

[120]  Kai Zhao,et al.  Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search , 2011, Appl. Soft Comput..

[121]  Anil Pahwa,et al.  Optimal selection of capacitors for radial distribution systems using a genetic algorithm , 1994 .

[122]  Ugur Özcan,et al.  Balancing stochastic two-sided assembly lines: A chance-constrained, piecewise-linear, mixed integer program and a simulated annealing algorithm , 2010, Eur. J. Oper. Res..

[123]  Marco Dorigo,et al.  Distributed Optimization by Ant Colonies , 1992 .

[124]  Sung-Kwun Oh,et al.  Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization , 2011, Fuzzy Sets Syst..

[125]  Yong Chen,et al.  Optimized annealing of traveling salesman problem from the nth-nearest-neighbor distribution , 2006, cond-mat/0603237.

[126]  International Journal of Applied Metaheuristic Computing , .

[127]  Duanbing Chen,et al.  Two-dimensional equilibrium constraint layout using simulated annealing , 2010, Comput. Ind. Eng..

[128]  Jong-Hwan Kim,et al.  Quantum-inspired evolutionary algorithm for a class of combinatorial optimization , 2002, IEEE Trans. Evol. Comput..

[129]  Magdalene Marinaki,et al.  A Hybrid Multi-Swarm Particle Swarm Optimization algorithm for the Probabilistic Traveling Salesman Problem , 2010, Comput. Oper. Res..

[130]  E. Rolland,et al.  Tabu search in audit scheduling , 1998, Eur. J. Oper. Res..

[131]  Christian Blum,et al.  Beam-ACO - hybridizing ant colony optimization with beam search: an application to open shop scheduling , 2005, Comput. Oper. Res..

[132]  Godfrey C. Onwubolu,et al.  Scheduling flow shops using differential evolution algorithm , 2006, Eur. J. Oper. Res..

[133]  Andreas C. Nearchou,et al.  Balancing large assembly lines by a new heuristic based on differential evolution method , 2007 .

[134]  Ali Haydar Kayhan,et al.  PSOLVER: A new hybrid particle swarm optimization algorithm for solving continuous optimization problems , 2010, Expert Syst. Appl..

[135]  Wen-Chyuan Chiang,et al.  Simulated annealing for machine layout problems in the presence of zoning constraints , 1992 .

[136]  Alex Van Breedam,et al.  Improvement heuristics for the Vehicle Routing Problem based on simulated annealing , 1995 .

[137]  Yueh-Min Huang,et al.  A new bee colony optimization algorithm with idle-time-based filtering scheme for open shop-scheduling problems , 2011, Expert Syst. Appl..

[138]  Andreas C. Nearchou,et al.  Maximizing production rate and workload smoothing in assembly lines using particle swarm optimization , 2011 .

[139]  I. Yılmaz,et al.  An Example of Artificial Neural Network (ANN) Application for Indirect Estimation of Rock Parameters , 2008 .

[140]  Chinyao Low,et al.  Simulated annealing heuristic for flow shop scheduling problems with unrelated parallel machines , 2005, Comput. Oper. Res..

[141]  Bertrand M. T. Lin,et al.  Ant colony optimization for the cell assignment problem in PCS networks , 2006, Comput. Oper. Res..

[142]  Michael R. Lyu,et al.  A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training , 2007, Appl. Math. Comput..

[143]  V. Cerný Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .

[144]  H. Das,et al.  Scheduling of serial multiproduct batch processes via simulated annealing , 1990 .

[145]  Ruey-Maw Chen,et al.  Particle swarm optimization with justification and designed mechanisms for resource-constrained project scheduling problem , 2011, Expert Syst. Appl..

[146]  Christian W. Dawson,et al.  An artificial neural network approach to rainfall-runoff modelling , 1998 .

[147]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[148]  Ruey-Hsun Liang,et al.  Main transformer ULTC and capacitors scheduling by simulated annealing approach , 2001 .

[149]  Seok-Beom Roh,et al.  The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach , 2010, Fuzzy Sets Syst..

[150]  Xiaodong Li,et al.  Particle swarm optimization-based schemes for resource-constrained project scheduling , 2005 .

[151]  T. Peng,et al.  Simulated annealing for the quadratic assignment problem: A further study , 1996 .

[152]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[153]  Albert Y. Zomaya,et al.  Multiprocessor scheduling using mean-field annealing , 1998, Future Gener. Comput. Syst..

[154]  Qian Tao,et al.  A rotary chaotic PSO algorithm for trustworthy scheduling of a grid workflow , 2011, Comput. Oper. Res..

[155]  Ming Lu,et al.  Resource-constrained critical path analysis based on discrete event simulation and particle swarm optimization , 2008 .

[156]  Shi-Jinn Horng,et al.  An efficient job-shop scheduling algorithm based on particle swarm optimization , 2010, Expert Syst. Appl..

[157]  Wang Yanxia,et al.  Weapon target assignment problem satisfying expected damage probabilities based on ant colony algorithm , 2008 .

[158]  Shyi-Ming Chen,et al.  Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques , 2011, Expert Syst. Appl..

[159]  Guan-Chun Luh,et al.  A binary particle swarm optimization for continuum structural topology optimization , 2011, Appl. Soft Comput..

[160]  Barrie M. Baker,et al.  A genetic algorithm for the vehicle routing problem , 2003, Comput. Oper. Res..

[161]  Chandrasekharan Rajendran,et al.  A simulated annealing heuristic for scheduling in a flowshop with bicriteria , 1994 .

[162]  João Tomé Saraiva,et al.  A Simulated Annealing based approach to solve the generator maintenance scheduling problem , 2011 .

[163]  Christian Blum,et al.  Hybrid Metaheuristics, An Emerging Approach to Optimization , 2008, Hybrid Metaheuristics.

[164]  Christian Blum,et al.  Hybrid metaheuristics in combinatorial optimization: A survey , 2011, Appl. Soft Comput..

[165]  Voratas Kachitvichyanukul,et al.  A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery , 2009, Comput. Oper. Res..

[166]  D. Karaboga,et al.  A Simple and Global Optimization Algorithm for Engineering Problems: Differential Evolution Algorithm , 2004 .

[167]  Alan R. McKendall,et al.  Simulated annealing heuristics for the dynamic facility layout problem , 2006, Comput. Oper. Res..

[168]  C. Rajendran,et al.  An ant-colony optimization algorithm for minimizing the completion-time variance of jobs in flowshops , 2006 .

[169]  A. Ghanbarzadeh,et al.  Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand est , 2010 .

[170]  Junjie Li,et al.  Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions , 2011, Inf. Sci..

[171]  Prithviraj Banerjee,et al.  Simulated Annealing Based Parallel State Assignment of Finite State Machines , 1997, J. Parallel Distributed Comput..

[172]  Stefan Voß,et al.  Meta-heuristics: The State of the Art , 2000, Local Search for Planning and Scheduling.

[173]  Ali Azadeh,et al.  A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting , 2012, Comput. Ind. Eng..

[174]  Youshen Xia A new neural network for solving linear programming problems and its application , 1996, IEEE Trans. Neural Networks.

[175]  Mehmet Mutlu Yenisey,et al.  Ant colony optimization for multi-objective flow shop scheduling problem , 2008, Comput. Ind. Eng..

[176]  Sovan Lek,et al.  Artificial neural networks as a tool in ecological modelling, an introduction , 1999 .

[177]  Dervis Karaboga,et al.  A comparative study of Artificial Bee Colony algorithm , 2009, Appl. Math. Comput..

[178]  Q. J. Wang The Genetic Algorithm and Its Application to Calibrating Conceptual Rainfall-Runoff Models , 1991 .

[179]  Woo-Tsong Lin,et al.  Ant colony optimization-based algorithm for airline crew scheduling problem , 2011, Expert Syst. Appl..

[180]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[181]  Yanchun Liang,et al.  Particle swarm optimization-based algorithms for TSP and generalized TSP , 2007, Inf. Process. Lett..

[182]  Toshihiko Ogura,et al.  A fully automatic 3D reconstruction method using simulated annealing enables accurate posterioric angular assignment of protein projections. , 2006, Journal of structural biology.

[183]  Purushothaman Damodaran,et al.  Minimizing makespan for single machine batch processing with non-identical job sizes using simulated annealing , 2004 .

[184]  B. Lin,et al.  Solving heat exchanger network synthesis problems with Tabu Search , 2004, Comput. Chem. Eng..

[185]  Adil Baykasoglu,et al.  Erratum to "A simulated annealing algorithm for dynamic layout problem": [Computers & Operations Research 28 (2001) 1367-1460] , 2004, Comput. Oper. Res..

[186]  Peng-Yeng Yin,et al.  A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems , 2006, Comput. Stand. Interfaces.

[187]  Eric Michielssen,et al.  Genetic algorithm optimization applied to electromagnetics: a review , 1997 .

[188]  Ruben E. Perez,et al.  Constrained structural design optimization via a parallel augmented Lagrangian particle swarm optimization approach , 2011 .

[189]  R. Bhavani,et al.  PSO trained ANN-based differential protection scheme for power transformers , 2008, Neurocomputing.

[190]  C. L. Karr,et al.  Fuzzy control of pH using genetic algorithms , 1993, IEEE Trans. Fuzzy Syst..

[191]  Baozhen Yao,et al.  Production , Manufacturing and Logistics An improved ant colony optimization for vehicle routing problem , 2008 .

[192]  Dervis Karaboga,et al.  Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems , 2007, IFSA.

[193]  Shyi-Ming Chen,et al.  Parallelized genetic ant colony systems for solving the traveling salesman problem , 2011, Expert Syst. Appl..

[194]  Matthijs den Besten,et al.  Ant Colony Optimization for the Total Weighted Tardiness Problem , 2000, PPSN.

[195]  Luca Maria Gambardella,et al.  Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem , 1995, ICML.

[196]  K. Harris,et al.  The application of a genetic algorithm for solving crystal structures from powder diffraction data , 1997 .

[197]  Ramazan Sahin A simulated annealing algorithm for solving the bi-objective facility layout problem , 2011, Expert Syst. Appl..

[198]  Pu Li,et al.  Simulated annealing for the optimization of batch distillation processes , 2000 .

[199]  W. Y. Szeto,et al.  An artificial bee colony algorithm for the capacitated vehicle routing problem , 2011, Eur. J. Oper. Res..

[200]  Vittorio Maniezzo,et al.  The Ant System Applied to the Quadratic Assignment Problem , 1999, IEEE Trans. Knowl. Data Eng..

[201]  Francisco Herrera,et al.  Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP , 2010, Expert Syst. Appl..

[202]  Sigurdur Olafsson,et al.  Chapter 21 Metaheuristics , 2006, Simulation.

[203]  Dervis Karaboga,et al.  AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .

[204]  D. Karaboga,et al.  On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..

[205]  N. Jawahar,et al.  Threshold accepting and Ant-colony optimization algorithms for scheduling m-machine flow shops with lot streaming , 2009 .

[206]  Zhao Xinchao,et al.  Simulated annealing algorithm with adaptive neighborhood , 2011 .

[207]  B. Bullnheimer,et al.  A NEW RANK BASED VERSION OF THE ANT SYSTEM: A COMPUTATIONAL STUDY , 1997 .

[208]  Mo-Yuen Chow,et al.  On the application and design of artificial neural networks for motor fault detection. II , 1993, IEEE Trans. Ind. Electron..

[209]  Jui-Lin Lai,et al.  An efficient bi-objective personnel assignment algorithm based on a hybrid particle swarm optimization model , 2010, Expert Syst. Appl..

[210]  Saro Lee,et al.  Determination and application of the weights for landslide susceptibility mapping using an artificial neural network , 2004 .

[211]  Guenther Fuellerer,et al.  Metaheuristics for vehicle routing problems with three-dimensional loading constraints , 2010, Eur. J. Oper. Res..

[212]  Thomas Stützle,et al.  Ant Colony Optimization , 2009, EMO.

[213]  Mohamed Ben-Daya,et al.  A tabu search approach for the flow shop scheduling problem , 1998, Eur. J. Oper. Res..

[214]  Hartmut Schmeck,et al.  Ant colony optimization for resource-constrained project scheduling , 2000, IEEE Trans. Evol. Comput..

[215]  Kamran Behdinan,et al.  Particle swarm approach for structural design optimization , 2007 .

[216]  Chao Mao,et al.  Optimizing Research of an Improved Simulated Annealing Algorithm to Soft Time Windows Vehicle Routing Problem with Pick-up and Delivery , 2009 .

[217]  Yiyo Kuo,et al.  Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem , 2010, Comput. Ind. Eng..

[218]  Edmund K. Burke,et al.  A multistage evolutionary algorithm for the timetable problem , 1999, IEEE Trans. Evol. Comput..

[219]  Umut Rifat Tuzkaya,et al.  A particle swarm optimization algorithm for the multiple-level warehouse layout design problem , 2008, Comput. Ind. Eng..