GENETIC ALGORITHMS AND ENGINEERING OPTIMIZATION.pdf

GENETIC ALGORITHMS AND ENGINEERING OPTIMIZATION

Runwei Chen

The past decade has witnessed many exciting advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server networking. Aided by GAs, analysts and designers now routinely evolve solutions to complex combinatorial and multiobjective optimization problems with an ease and rapidity unthinkable with conventional methods. Despite the continued growth and refinement of this powerful analytical tool, there continues to be a lack of up-to-date guides to contemporary GA optimization principles and practices. Written by two of the worlds leading experts in the field, this book fills that gap in the literature.Taking an intuitive approach, Mitsuo Gen and Runwei Cheng employ numerous illustrations and real-world examples to help readers gain a thorough understanding of basic GA concepts- including encoding, adaptation, and genetic optimizations-and to show how GAs can be used to solve an array of constrained, combinatorial, multiobjective, and fuzzy optimization problems. Focusing on problems commonly encountered in industry-especially in manufacturing-Professors Gen and Cheng provide in-depth coverage of advanced GA techniques for:• Reliability design• Manufacturing cell design• Scheduling• Advanced transportation problems• Network design and routingGenetic Algorithms and Engineering Optimization is an indispensable working resource for industrial engineers and designers, as well as systems analysts, operations researchers, and management scientists working in manufacturing and related industries. It also makes an excellent primary or supplementary text for advanced courses in industrial engineering, management science, operations research, computer science, and artificial intelligence.

Topology optimization using an adaptive genetic algorithm ...

4.63 MB Taille du fichier
9780471315315 ISBN
GENETIC ALGORITHMS AND ENGINEERING OPTIMIZATION.pdf

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Sofya Voigtuh

Genetic Algorithms and Engineering Optimization is an indispensable working resource for industrial engineers and designers, as well as systems analysts, operations researchers, and management scientists working in manufacturing and related industries. It also makes an excellent primary or supplementary text for advanced courses in industrial

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Mattio Müllers

Genetic Algorithms and Engineering Optimization ...

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Noels Schulzen

Genetic Algorithms and Engineering Designis the only book to cover the most recent technologies and theirapplication to manufacturing, presenting a comprehensive and fullyup-to-date treatment of genetic algorithms in industrialengineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals andtheir use in solving constrained and combinatorial Genetic Algorithms and Engineering Optimization

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Jason Leghmann

A hybrid particle swarm optimization and genetic … 3.2. Genetic algorithm. Genetic algorithms (GAs) have been developed by J. Holland to understand the adaptive processes of natural systems .Then, they have been applied to optimization and machine learning in the 1980s , .GA usually applies a crossover operator by mating the parents (individuals) and a mutation operator that randomly modifies the individual contents to promote diversity to

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Jessica Kolhmann

optimization of rc columns and footings using … Matlab and Mathematica & Mathematics Projects for ₹1500 - ₹12500. optimization of following elements as per IS-450 and SP16 1.short column 2. long column 3.isolated footing