By El-Ghazali Talbi
A unified view of metaheuristics
This e-book offers an entire heritage on metaheuristics and indicates readers how one can layout and enforce effective algorithms to resolve complicated optimization difficulties throughout a various variety of functions, from networking and bioinformatics to engineering layout, routing, and scheduling. It provides the most layout questions for all households of metaheuristics and obviously illustrates tips to enforce the algorithms less than a software program framework to reuse either the layout and code.
Throughout the ebook, the foremost seek elements of metaheuristics are regarded as a toolbox for:
- Designing effective metaheuristics (e.g. neighborhood seek, tabu seek, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter seek, ant colonies, bee colonies, synthetic immune structures) for optimization problems
Designing effective metaheuristics for multi-objective optimization problems
Designing hybrid, parallel, and allotted metaheuristics
Implementing metaheuristics on sequential and parallel machines
Using many case reviews and treating layout and implementation independently, this booklet offers readers the abilities essential to resolve large-scale optimization difficulties fast and successfully. it's a priceless reference for working towards engineers and researchers from various components facing optimization or computing device studying; and graduate scholars in machine technology, operations study, keep an eye on, engineering, enterprise and administration, and utilized mathematics.
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