This paper establishes theoretical bonafides for implicit concurrentmultivariate effect evaluation--implicit concurrency for short---a broad andversatile computational learning efficiency thought to underliegeneral-purpose, non-local, noise-tolerant optimization in genetic algorithmswith uniform crossover (UGAs...
Genetic AlgorithmUniform crossoverUnconstrained Binary Quadratic Programming problemThe unconstrained binary quadratic programming problem is one of the most studied NP-hard problem with its various practical applications. In this paper, we propose an effective multi-objective geneti...
Genetic Algorithm (GA) is a widely used optimization technique with multitudinous applications. Improving the performance of the GA would further augment its functionality. This paper presents a Crossover Improved GA (CIGA) that emulates the motion of fireflies employed in the Firefly Algorithm (FA)...
that a particular application of crossover will be disrup- tive. Holland’s initial analysis of the sampling disruption of 1-point crossover [Holland, 1975] has been extended to n-point and uniform crossover [DeJong, 1975; Spears and DeJong, 1990]. These results are in the form of estimat...
There is a very large study investigating the parameter space of genetic algorithms and the effect of hyperparameter selection on algorithm performance [24]. These workers attempt to answer the question of whether the evolutionary component of SRGP, its crossover and mutation operations, confers any...
Since its popularization by Syswerda (1989), uniform crossover (UC) has become perhaps the most widely used crossover operator, despite the fact that arguments backing low-disruption operators are as old as the genetic algorithm (GA) itself. We question the usual arguments given in favor of ...
2) uniform crossover operator 均匀杂交算子 1. In this paper,a inverse and dual combination operator is proposed as a new genetic operator to improve genetic algorithm local searching,and a solving TSP genetic algorithm that combines uniform crossover operator which has better global searching with...
均匀两点交叉2) uniform crossover 均匀交叉 1. To solve the problem of incomplete crossover operator,a novel complete path uniform crossover has been introduced in the algorithm. 针对现有基于遗传算法的片上网络路径分配算法,引入了一种完整路径均匀交叉算子,来改善现有算法中路径交叉不充分的问题。
Genetic AlgorithmCrossover MethodJob Allocation MethodThis paper considers the single machine scheduling problem with uniform parallel machines in which the objective is to minimize the makespan. Four different GA based heuristics are designed by taking different combinations of crossover methods, viz. ...
4) uniform crossover 均匀交叉 1. To solve the problem of incomplete crossover operator,a novel complete path uniform crossover has been introduced in the algorithm. 针对现有基于遗传算法的片上网络路径分配算法,引入了一种完整路径均匀交叉算子,来改善现有算法中路径交叉不充分的问题。