Read e-book online Dynamic Parameter Adaptation for Meta-Heuristic Optimization PDF

ISBN-10: 3319708503

ISBN-13: 9783319708508

In this publication, a technique for parameter edition in meta-heuristic op-timization equipment is proposed. this system relies on utilizing met-rics in regards to the inhabitants of the meta-heuristic tools, to make your mind up via a fuzzy inference procedure the easiest parameter values that have been conscientiously se-lected to be adjusted. With this transformation of parameters we wish to discover a higher version of the habit of the optimization approach, simply because with the amendment of parameters, those will have an effect on at once the way the worldwide or neighborhood seek are performed.
Three varied optimization equipment have been used to make sure the improve-ment of the proposed technique. therefore the optimization equipment are: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational seek Algorithm), the place a few parameters are se-lected to be dynamically adjusted, and those parameters have the main im-pact within the habit of every optimization method.
Simulation effects exhibit that the proposed method is helping to every optimization technique in acquiring larger effects than the consequences bought via the unique strategy with out parameter adjustment.

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Read or Download Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic (SpringerBriefs in Applied Sciences and Technology) PDF

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Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic (SpringerBriefs in Applied Sciences and Technology)


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