Description
Title: AUTONOMOUS HYBRIDIZATION OF AGENT-BASED COMPUTING: ENERGY REDISTRIBUTION
Abstract: Complex, multi-dimensional problems are well-suited for evolutionary multi-agent systems (EMAS). In order to give agents even more freedom to solve problems and choose how the algorithm should behave, research is currently being done to enhance this algorithm. To create the Hybrid Evolutionary Multi Agent-System, one method is to hybridize this algorithm with other existing algorithms (HEMAS). Sadly, these connections lead to issues with out-of-balance agent energy levels. Utilizing an agent energy redistribution operator is one solution. The article compares three different proposals for these redistribution operators, identifies the best one based on the outcomes of numerous experiments, and presents the winner.
Keywords: agent-based computing, hybrid metaheuristics, nature-inspired algorithms
Paper Quality: SCOPUS / Web of Science Level Research Paper
Paper type: Analysis Based Research Paper
Subject: Computer Science
Writer Experience: 20+ Years
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