Baek Dong Hyun,Yoon Wan Chul."Co-evolutionary genetic algorithm for multi-machine scheduling: Coping with high performance variability". International Journal of Production Research . 2002Baek, D.H. and Yoon, W.C., Co-evolutionary genetic algorithm for multi- machine scheduling: coping with high ...
coevolutionary genetic algorithmresource schedulingscientific workflowThe cloud infrastructures provide a suitable environment for the execution of large-scale scientific workflow application. However, it raises new challenges to efficiently allocate resources for the workflow application and also to meet the ...
An effective genetic algorithm for the flexible job-shop scheduling problem 热度: Improved Genetic Algorithm for Extension Dual Resource Constrained Job Shop Scheduling Problem 热度: a hybrid genetic algorithm for dual-resource constrained job shop scheduling problem ...
This paper studies the optimization of neural networks design including structure and parameters based on co-evolutionary genetic algorithm with degeneration. The ANN parameters are coded as genes co-evolving with control genes controlling degeneration. The value of control gene means the damaged rate ...
3-D well path design using a multi objective genetic algorithm 热度: Computer-AidedDesign&Applications,Vol.2,Nos.1-4,2005,pp487-496 487 Co-OperativeCo-EvolutionaryGeneticAlgorithms forMulti-ObjectiveTopologyDesign KuntineeManeeratana 1 ,KittipongBoonlong ...
Simulating the automated negotiation based on Co-evolutionary Genetic Algorithm(CGA) is a new topic in intelligent computing and multi-Agent system.According to the status that most literatures deal with the single-issue negotiation,this paper puts forward a multi-issue negotiation simulating algorithm ...
Optimizationofneuralnetworksstructureandparametersbased onco-evolutionarygeneticalgorithmwithdegenerationarestudied. 该文研究了用带退化的协同进化遗传算法来优化神经网络结构,同时优化网络参数。 dict.cnki.net 更多双语例句 权威例句 Co-evolutionary An effective co-evolutionary particle swarm optimization for constrained ...
The original cooperative co-evolutionary genetic algorithm (CCGA) [5] decomposes a D-dimensional problem into D one-dimensional subproblems. In each co-evolutionary cycle, the subproblems can be solved by CCGA using an evolutionary optimizer in a round-robin fashion. CCGA is suitable for solving...
Genetic Programming Classifier (PGPC) is novel in the fact that it extends a Genetic Algorithm“game-playing” context into the domain of GP classification. Furthermore, pruning is utilized to limit the sizes of the IPCA algorithm archives (the respective ...
Keywords:coevolutionarygeneticalgorithm;lakefrontrivernetwork;waterresources;optimalallocation 协同进化遗传算法是传统遗传算法的一种改进,其对实 际问题的模拟从单个种群的进化提升为基于多个种群的协 同进化 [1] 。由于协同进化遗传算法涵盖了生物进化中相互 ...