Active components of metaheuristics in cellular genetic algorithms

[1]  Enrique Alba,et al.  Cellular genetic algorithms , 2014, GECCO.

[2]  Enrique Alba,et al.  Hybridizing cGAs with PSO-like Mutation , 2013, EVOLVE.

[3]  Enrique Alba,et al.  Hybridizing Cellular GAs with Active Components of Bio-inspired Algorithms , 2013, Hybrid Metaheuristics.

[4]  Keith Dickerson.  EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation , 2013, EVOLVE.

[5]  Guillermo Leguizamón,et al.  Cellular gas with active components of PSO: mutation and crossover , 2012 .

[6]  Francisco Herrera,et al.  Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power , 2010, Inf. Sci..

[7]  William E. Hart,et al.  Recent Advances in Memetic Algorithms , 2008 .

[8]  Günther R. Raidl,et al.  A Unified View on Hybrid Metaheuristics , 2006, Hybrid Metaheuristics.

[9]  Günther R. Raidi.  A unified view on hybrid metaheuristics , 2006 .

[10]  Enrique Alba,et al.  An Introduction to Metaheuristic Techniques , 2005 .

[11]  M. Kamel,et al.  A Taxonomy of Cooperative Search Algorithms , 2005, Hybrid Metaheuristics.

[12]  Günther R. Raidl,et al.  Combining Metaheuristics and Exact Algorithms in Combinatorial Optimization: A Survey and Classification , 2005, IWINAC.

[13]  Andrés Moya Simarro,et al.  Evolución: origen, adaptación y divergencia de las especies , 2003 .

[14]  El-Ghazali Talbi,et al.  A Taxonomy of Hybrid Metaheuristics , 2002, J. Heuristics.

[15]  I. Wegener,et al.  Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods A Natural and Simple Function Which is Hard For All Evolutionary Algorithms , 2007 .

[16]  Carlos Cotta dash,et al.  A study of hybridisation techniques and their application to the design of evolutionary algorithms , 1998 .

[17]  A. Fabian.  Evolution : society, science and the universe , 1998 .

[18]  Carlos Cotta.  A Study of Hybridisation Techniques and Their Application to the Design of Evolutionary Algorithms , 1998, AI Commun..

[19]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[20]  Kenneth A. De Jong,et al.  Using Problem Generators to Explore the Effects of Epistasis , 1997, ICGA.

[21]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[22]  Thomas Bäck,et al.  An evolutionary approach to combinatorial optimization problems , 1994, CSC '94.

[23]  L. Darrell Whitley,et al.  Cellular Genetic Algorithms , 1993, ICGA.

[24]  Shigeyoshi Tsutsui,et al.  Forking Genetic Algorithm with Blocking and Shrinking Modes (fGA) , 1993, ICGA.

[25]  Marco Tomassini,et al.  The Parallel Genetic Cellular Automata: Application to Global Function Optimization , 1993 .

[26]  Kalyanmoy Deb,et al.  Massive Multimodality, Deception, and Genetic Algorithms , 1992, PPSN.

[27]  Larry J. Eshelman,et al.  On Crossover as an Evolutionarily Viable Strategy , 1991, ICGA.

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

[29]  Seymour E. Goodman,et al.  Introduction to the Design and Analysis of Algorithms , 1977 .

[30]  F. MacWilliams,et al.  The Theory of Error-Correcting Codes , 1977 .

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