Performance comparison of metaheuristic algorithms using a modified Gaussian fitness landscape generator

[1]  Ardeshir Bahreininejad,et al.  Water cycle algorithm with evaporation rate for solving constrained and unconstrained optimization problems , 2015, Appl. Soft Comput..

[2]  Ho Min Lee,et al.  Performance Measures of Metaheuristic Algorithms , 2015, ICHSA.

[3]  Do Guen Yoo,et al.  Smallest-Small-World Cellular Harmony Search for Optimization of Unconstrained Benchmark Problems , 2013, J. Appl. Math..

[4]  Ardeshir Bahreininejad,et al.  Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems , 2013, Appl. Soft Comput..

[5]  Martyn Amos,et al.  Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms , 2012, ICANNGA.

[6]  Milad Ahangaran,et al.  Harmony Search Algorithm: Strengths and Weaknesses , 2013 .

[7]  Ardeshir Bahreininejad,et al.  Water cycle algorithm - A novel metaheuristic optimization method for solving constrained engineering optimization problems , 2012 .

[8]  Kwee-Bo Sim,et al.  Parameter-setting-free harmony search algorithm , 2010, Appl. Math. Comput..

[9]  T. Warren Liao,et al.  Two hybrid differential evolution algorithms for engineering design optimization , 2010, Appl. Soft Comput..

[10]  Yin-Fu Huang,et al.  Self-adaptive harmony search algorithm for optimization , 2010, Expert Syst. Appl..

[11]  Ailsa H. Land,et al.  An Automatic Method of Solving Discrete Programming Problems , 1960 .

[12]  Xin-She Yang,et al.  Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[13]  Xiaodong Li,et al.  A Generator for Multimodal Test Functions with Multiple Global Optima , 2008, SEAL.

[14]  Bin Li,et al.  Multi-strategy ensemble particle swarm optimization for dynamic optimization , 2008, Inf. Sci..

[15]  Xin-She Yang,et al.  Nature-Inspired Metaheuristic Algorithms , 2008 .

[16]  Marcus Gallagher,et al.  A general-purpose tunable landscape generator , 2006, IEEE Transactions on Evolutionary Computation.

[17]  David E. Goldberg,et al.  Genetic algorithms and Machine Learning , 1988, Machine Learning.

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

[19]  Marcus Gallagher,et al.  On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[20]  Masao Fukushima,et al.  Hybrid simulated annealing and direct search method for nonlinear unconstrained global optimization , 2002, Optim. Methods Softw..

[21]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[22]  Bernd Freisleben,et al.  Fitness landscape analysis and memetic algorithms for the quadratic assignment problem , 2000, IEEE Trans. Evol. Comput..

[23]  Konstantinos G. Margaritis,et al.  An experimental study of benchmarking functions for genetic algorithms , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[24]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[25]  Thomas Bäck,et al.  Intelligent Mutation Rate Control in Canonical Genetic Algorithms , 1996, ISMIS.

[26]  Thomas Bäck,et al.  Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms , 1996 .

[27]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

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

[29]  Fred W. Glover,et al.  Future paths for integer programming and links to artificial intelligence , 1986, Comput. Oper. Res..

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

[31]  C. G. Broyden The Convergence of a Class of Double-rank Minimization Algorithms 2. The New Algorithm , 1970 .

[32]  D. Shanno Conditioning of Quasi-Newton Methods for Function Minimization , 1970 .

[33]  R. Fletcher,et al.  A New Approach to Variable Metric Algorithms , 1970, Comput. J..

[34]  D. Goldfarb A family of variable-metric methods derived by variational means , 1970 .

[35]  G. Dantzig Discrete-Variable Extremum Problems , 1957 .

[36]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .