Usage of Metaheuristics in Engineering: A Literature Review
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Cengiz Kahraman | Ebru Turanoglu | Cengiz Kahraman | Ozlem Senvar | C. Kahraman | Ozlem Senvar | Ebru Turanoglu
[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..