An Agent Based Implementation of Proactive S-Metaheuristics

作者: Mailyn Moreno , Alejandro Rosete , Juán Pavón

DOI: 10.1007/978-3-642-40846-5_1

关键词: Process (engineering)Computer scienceMathematical optimizationLocal search (optimization)Distance correlationMetaheuristicProactivityBinary stringsIdentification (information)Local optimum

摘要: This paper presents the use of a multi-agent system for development proactive S-Metaheuristics (i.e. single-solution based metaheuristics) derived from Record-to-Record Travel (RRT) and Local Search. The basic idea is to implement metaheuristics as agents that operate in environment optimization process with goal avoiding stagnation local optima by adjusting their parameters neighborhood. Environmental information about previous solutions used determine best operators parameters. adjustment neighborhood on identification using Fitness Distance Correlation (FDC). focused guarantying minimal level acceptance new solutions. Besides, simple form combination both behaviors introduced. has been validated through experimentation 28 functions binary strings.

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