Bat algorithm for constrained optimization tasks
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Amir Hossein Gandomi | Xin-She Yang | Amir Hossein Alavi | Siamak Talatahari | A. Gandomi | Xin-She Yang | A. Alavi | S. Talatahari
[1] Rong-Song He,et al. A hybrid real-parameter genetic algorithm for function optimization , 2006, Adv. Eng. Informatics.
[2] K. Lee,et al. A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice , 2005 .
[3] Zbigniew Michalewicz,et al. Evolutionary optimization of constrained problems , 1994 .
[4] James N. Siddall,et al. Analytical decision-making in engineering design , 1972 .
[5] Chun Zhang,et al. Mixed-discrete nonlinear optimization with simulated annealing , 1993 .
[6] R. G. Fenton,et al. A MIXED INTEGER-DISCRETE-CONTINUOUS PROGRAMMING METHOD AND ITS APPLICATION TO ENGINEERING DESIGN OPTIMIZATION , 1991 .
[7] Tapabrata Ray,et al. Society and civilization: An optimization algorithm based on the simulation of social behavior , 2003, IEEE Trans. Evol. Comput..
[8] Ricardo Landa Becerra,et al. Efficient evolutionary optimization through the use of a cultural algorithm , 2004 .
[9] Erwie Zahara,et al. Hybrid Nelder-Mead simplex search and particle swarm optimization for constrained engineering design problems , 2009, Expert Syst. Appl..
[10] C. J. Shih,et al. MIXED-DISCRETE FUZZY PROGRAMMING FOR NONLINEAR ENGINEERING OPTIMIZATION , 1995 .
[11] Yeh-Liang Hsu,et al. Developing a fuzzy proportional–derivative controller optimization engine for engineering design optimization problems , 2007 .
[12] 尹 泳秀,et al. Study on adaptive hybrid genetic algorithm and its applications to engineering design problems , 2005 .
[13] Carlos A. Coello Coello,et al. Use of a self-adaptive penalty approach for engineering optimization problems , 2000 .
[14] Gary G. Yen,et al. A Self Adaptive Penalty Function Based Algorithm for Constrained Optimization , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[15] Carlos A. Coello Coello,et al. Self-adaptive penalties for GA-based optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[16] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[17] Jasbir S. Arora,et al. Introduction to Optimum Design , 1988 .
[18] J. Altringham. Bats: Biology and Behaviour , 1996 .
[19] Carlos A. Coello Coello,et al. Hybridizing a genetic algorithm with an artificial immune system for global optimization , 2004 .
[20] Klaus Schittkowski,et al. Test examples for nonlinear programming codes , 1980 .
[21] S. N. Kramer,et al. An Augmented Lagrange Multiplier Based Method for Mixed Integer Discrete Continuous Optimization and Its Applications to Mechanical Design , 1994 .
[22] Keigo Watanabe,et al. Evolutionary Optimization of Constrained Problems , 2004 .
[23] C. A. Coello Coello,et al. Multiple trial vectors in differential evolution for engineering design , 2007 .
[24] C. Coello,et al. Cultured differential evolution for constrained optimization , 2006 .
[25] E. Sandgren,et al. Nonlinear Integer and Discrete Programming in Mechanical Design Optimization , 1990 .
[26] Kalyanmoy Deb,et al. Optimal design of a welded beam via genetic algorithms , 1991 .
[27] Zbigniew Michalewicz,et al. Evolutionary Algorithms for Constrained Parameter Optimization Problems , 1996, Evolutionary Computation.
[28] Ling Wang,et al. An effective co-evolutionary differential evolution for constrained optimization , 2007, Appl. Math. Comput..
[29] Y. J. Cao,et al. Evolutionary programming , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[30] Jung-Fa Tsai,et al. Global optimization for signomial discrete programming problems in engineering design , 2002 .
[31] Changyong Liang,et al. An effective multiagent evolutionary algorithm integrating a novel roulette inversion operator for engineering optimization , 2009, Appl. Math. Comput..
[32] A. Amirjanov. The development of a changing range genetic algorithm , 2006 .
[33] Xin Yao,et al. Stochastic ranking for constrained evolutionary optimization , 2000, IEEE Trans. Evol. Comput..
[34] Xin-She Yang,et al. A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.
[35] Georg Thierauf,et al. EVOLUTION STRATEGIES IN ENGINEERING OPTIMIZATION , 1997 .
[36] Mir M. Atiqullah,et al. SIMULATED ANNEALING AND PARALLEL PROCESSING: AN IMPLEMENTATION FOR CONSTRAINED GLOBAL DESIGN OPTIMIZATION , 2000 .
[37] Ling Wang,et al. An effective co-evolutionary particle swarm optimization for constrained engineering design problems , 2007, Eng. Appl. Artif. Intell..
[38] M. Montaz Ali,et al. Solving nonlinearly constrained global optimization problem via an auxiliary function method , 2009 .
[39] Heder S. Bernardino,et al. Constraint Handling in Genetic Algorithms via Artificial Immune Systems , 2006 .
[40] Carlos A. Coello Coello,et al. An empirical study about the usefulness of evolution strategies to solve constrained optimization problems , 2008, Int. J. Gen. Syst..
[41] James C. Bean,et al. A Genetic Algorithm for the Multiple-Choice Integer Program , 1997, Oper. Res..
[42] Heder S. Bernardino,et al. A hybrid genetic algorithm for constrained optimization problems in mechanical engineering , 2007, 2007 IEEE Congress on Evolutionary Computation.
[43] Tapabrata Ray,et al. ENGINEERING DESIGN OPTIMIZATION USING A SWARM WITH AN INTELLIGENT INFORMATION SHARING AMONG INDIVIDUALS , 2001 .
[44] Carlos A. Coello Coello,et al. Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer , 2008, Informatica.
[45] Tapabrata Ray,et al. A socio-behavioural simulation model for engineering design optimization , 2002 .
[46] Han-Lin Li,et al. A GLOBAL APPROACH FOR NONLINEAR MIXED DISCRETE PROGRAMMING IN DESIGN OPTIMIZATION , 1993 .
[47] Xin-She Yang,et al. Nature-Inspired Metaheuristic Algorithms , 2008 .
[48] C. Coello,et al. USE OF DOMINANCE-BASED TOURNAMENT SELECTION TO HANDLE CONSTRAINTS IN GENETIC ALGORITHMS , 2001 .
[49] Michael N. Vrahatis,et al. Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems , 2005, ICNC.
[50] S. Wu,et al. GENETIC ALGORITHMS FOR NONLINEAR MIXED DISCRETE-INTEGER OPTIMIZATION PROBLEMS VIA META-GENETIC PARAMETER OPTIMIZATION , 1995 .
[51] Barry Hilary Valentine Topping,et al. Improved genetic operators for structural engineering optimization , 1998 .
[52] Li Cheng,et al. A New Metaheuristic Bat-Inspired Algorithm , 2010 .
[53] V. Litinetski,et al. MARS - A MULTISTART ADAPTIVE RANDOM SEARCH METHOD FOR GLOBAL CONSTRAINED OPTIMIZATION IN ENGINEERING APPLICATIONS , 1998 .
[54] K. M. Ragsdell,et al. Optimal Design of a Class of Welded Structures Using Geometric Programming , 1976 .
[55] Amir Hossein Gandomi,et al. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2011, Engineering with Computers.
[56] Xin-She Yang. Harmony Search as a Metaheuristic Algorithm , 2009 .
[57] Helio J. C. Barbosa,et al. An adaptive penalty scheme for genetic algorithms in structural optimization , 2004 .
[58] Carlos A. Coello Coello,et al. Handling Constraints in Global Optimization Using an Artificial Immune System , 2005, ICARIS.
[59] Xiaohui Hu,et al. Engineering optimization with particle swarm , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[60] Carlos A. Coello Coello,et al. Constraint-handling in genetic algorithms through the use of dominance-based tournament selection , 2002, Adv. Eng. Informatics.
[61] Xin-She Yang,et al. Bat algorithm: a novel approach for global engineering optimization , 2012, 1211.6663.
[62] Shang He,et al. An improved particle swarm optimizer for mechanical design optimization problems , 2004 .
[63] Leandro dos Santos Coelho,et al. Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems , 2010, Expert Syst. Appl..
[64] Carlos A. Coello Coello,et al. A simple multimembered evolution strategy to solve constrained optimization problems , 2005, IEEE Transactions on Evolutionary Computation.
[65] Zbigniew Michalewicz,et al. Evolutionary Algorithms, Homomorphous Mappings, and Constrained Parameter Optimization , 1999, Evolutionary Computation.
[66] Masao Fukushima,et al. Derivative-Free Filter Simulated Annealing Method for Constrained Continuous Global Optimization , 2006, J. Glob. Optim..
[67] Klaus Schittkowski,et al. More test examples for nonlinear programming codes , 1981 .
[68] Gary G. Yen,et al. A generic framework for constrained optimization using genetic algorithms , 2005, IEEE Transactions on Evolutionary Computation.
[69] Helio J. C. Barbosa,et al. An Adaptive Penalty Scheme In Genetic Algorithms For Constrained Optimiazation Problems , 2002, GECCO.
[70] C. Coello,et al. CONSTRAINT-HANDLING USING AN EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION TECHNIQUE , 2000 .
[71] Christopher R. Houck,et al. On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA's , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[72] Carlos A. Coello Coello,et al. Handling Constraints in Particle Swarm Optimization Using a Small Population Size , 2007, MICAI.
[73] Amir Hossein Alavi,et al. Krill herd: A new bio-inspired optimization algorithm , 2012 .
[74] Amir Hossein Gandomi,et al. Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization , 2012, Comput. Math. Appl..
[75] A. Kaveh,et al. A novel heuristic optimization method: charged system search , 2010 .
[76] Ashok Dhondu Belegundu,et al. A Study of Mathematical Programming Methods for Structural Optimization , 1985 .
[77] Han-Lin Li,et al. An approximate approach of global optimization for polynomial programming problems , 1998, Eur. J. Oper. Res..
[78] Kalyanmoy Deb,et al. GeneAS: A Robust Optimal Design Technique for Mechanical Component Design , 1997 .
[79] Heder S. Bernardino,et al. A new hybrid AIS-GA for constrained optimization problems in mechanical engineering , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[80] A. Gandomi,et al. Mixed variable structural optimization using Firefly Algorithm , 2011 .
[81] El-Ghazali Talbi,et al. Metaheuristics - From Design to Implementation , 2009 .
[82] Jenn-Long Liu,et al. Novel orthogonal simulated annealing with fractional factorial analysis to solve global optimization problems , 2005 .
[83] B. Hernández-Ocaña,et al. Bacterial Foraging for Engineering Design Problems: Preliminary Results , 2008 .
[84] Wenjian Luo,et al. Differential evolution with dynamic stochastic selection for constrained optimization , 2008, Inf. Sci..
[85] Carlos A. Coello Coello,et al. A modified version of a T‐Cell Algorithm for constrained optimization problems , 2010 .
[86] Abdollah Homaifar,et al. Constrained Optimization Via Genetic Algorithms , 1994, Simul..