Open AccessJournal Article
Improved genetic algorithm:GA-EO algorithm
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TL;DR: Experiment proves that to mix the EO(extremal optimization) algorithm into GA could improve the above defects.
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Abstract: The basic GA(genetic algorithm) has some problems such as the poor ability of local search,the abundant calculated quantity,and the poor ability for searching big space and constrict in local minimum easily etc.Experiment proves that to mix the EO(extremal optimization) algorithm into GA could improve the above defects.
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Citations
Research and Application of Hybrid Random Selection Genetic Algorithm
Jin Zhu,Libo Huai,Rong-yi Cui +2 more
- 01 Dec 2017
TL;DR: A hybrid random selection method is proposed, which uses together a variety of pseudorandom functions to generate the random numbers required at different stages of the algorithm, and the running time and iteration accuracy with the traditional genetic algorithm of TSP problem is compared.
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Fruit Fly Algorithm Based on Extremal Optimization
Shuiping Zhang,Yang Chen,Yangdan Geng +2 more
- 01 Dec 2016
TL;DR: An algorithm EOFOA is proposed that combines EO (Extremal optimization algorithm) with FOA (Fruit fly optimization algorithm), so as to prevent local optimum and increase convergence accuracy.
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A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty
TL;DR: A new method of constrain handling to solve the constrained optimization problems makes full use of the condensed characteristics of the KS function to transform multi-constrained optimization problem into a single constraint optimization problem and a group penalty method is adopted by genetic algorithm.
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