A Controllable Mutation Probability (CMP) strategy is proposed and applied to a Multi-Agent Genetic Algorithm (MAGA) to deal with the global optimization of trajectory design in deep space, which is called MGA-CMP. MAGA-CMP is an algorithm setting all the individuals (or agents) on a grid ...
Multi—Agent,InteractiveGeneticAlgorithm,UserFatigue,FashionDesign 1 引 言 遗传算法(GeneticAlgorithm,GA)是求解数 值(组合)优化问题的重要方法,在许多领域得到广 泛应用.GA的一个重要特征是适应值函数是可自 动计算的,然而有时事物的优劣却无法用一个具体 ...
A Dynamic Multiagent Genetic Algorithm for Gene Regulatory Network Reconstruction Based on Fuzzy Cognitive Maps 下载积分: 1000 内容提示: 1063-6706 (c) 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. Seehttp://www.ieee.org/publications_standards/...
Multi-agent genetic algorithm (MAGA) is a good algorithm for global numerical optimization. It exploited the known characteristics of some benchmark functions to achieve outstanding results. But for some novel composition functions, the performance of the MAGA significantly deteriorates when the relative...
The paper proposed an interactive multi-agent genetic algorithm for the travel itinerary planning problem,which combined the multi-agent technology with the interactive genetic algorithm.The algorithm made agents fixed on a lattice evolve and compete in order to search the satisfactory itinerary.In every...
This paper surveys the field of deep multiagent reinforcement learning (RL). The combination of deep neural networks with RL has gained increased traction
An ecologically inspired multi-agent system. Agents are designed with neural network based decision making, and complex resource requirements. open-sourcesimulationgplv3genetic-algorithmartificial-intelligenceneural-networksevolutionary-algorithmsartificial-lifeecologymulti-agent-systemsecological-modellingmulti-agent-...
… Multi-Agent System Based on the Extreme Learning Machine and Fuzzy Control for Intelligent Energy Management in Microgrid … In this paper, we present a multi-agent system based on wind and photovoltaic power prediction using the extreme learning machine algorithm …...
This paper provides a genetic algorithm for solving the object-sorting task. The object-sorting task is a complex multi-agent task which requires the cooperation of multiple agents for searching and moving the objects to their destinations. The agent-object sequence is utilized to represent the sol...
In order to realize small satellite task autonomous scheduling it has been a current to apply the technology of agent to the design of satellite keeping operator(SKO).In this paper a SKO design method which combines agent and small satellite task is presented and genetic algorithm is applied to...