Titlebook: Parallel Problem Solving from Nature - PPSN VII; 7th International Co Juan Julián Merelo Guervós,Panagiotis Adamidis,Jos Conference proceed

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Random Dynamics Optimum Tracking with Evolution Strategies dynamic optimization is to continuously adapt the solution to a changing environment– a task that evolutionary algorithms are believed to be good at. At the time being, however, almost all knowledge with regard to the performance of evolutionary algorithms in dynamic environments is of an empirical

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Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfactionby we gain insight into the number of distinct points in the state space an algorithm has visited as opposed to the number of function evaluations done within the run. This investigation demonstrates a certain inefficiency of the classical mutation operator with mutation-rate 1/., where . is the dim

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Fitness Landscapes Based on Sorting and Shortest Paths Problemsose subproblems of NP-hard optimization problems where certain evolutionary algorithms work in polynomial time. Therefore, fitness landscapes based on important computer science problems as sorting and shortest paths problems are investigated here. Although it cannot be expected that evolutionary al

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Binary Representations of Integers and the Performance of Selectorecombinative Genetic Algorithmsmapping. The genotype-phenotype mapping is the used representation and the phenotype-fitness mapping is the problem that should be solved..This paper investigates how the use of different binary representations of integers infiuences the performance of selectorecombinative GAs using only crossover a