Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
Evolutionary Computation at the Edge of Feasibility
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Automatic Data Mining by Asynchronous Parallel Evolutionary Algorithms
TOOLS '01 Proceedings of the 39th International Conference and Exhibition on Technology of Object-Oriented Languages and Systems (TOOLS39)
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
Novel Adaptive Heuristic For Search And Optimisation
JVA '06 Proceedings of the IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Free Search-a comparative analysis
Information Sciences: an International Journal
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The article presents experimental results achieved by Free Search on optimization of 100 dimensional version of so called bump test problem. Free Search is adaptive heuristic algorithm. It operates on a set of solutions called population and it can be classified as population-based method. It gradually modifies a set of solutions according to the prior defined objective function. The aim of the study is to identify how Free Search can diverge from one starting location in the middle of the search space in comparison to start from random locations in the middle of the search space and start from stochastic locations uniformly generated within the whole search space. The results achieved from the experiments with above initialization strategies are presented. A discussion focuses on the ability of Free Search to diverge from one location if the process stagnates in local trap during the search. The article presents, also, the values of the variables for the best achieved results, which could be used for comparison to other methods and further investigation.