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Handbook of AI based Metaheuristics 1st Edition by Anand Kulkarni, Patrick Siarry ISBN 9780367753030 0367753030

Name: Handbook of AI based Metaheuristics 1st Edition by Anand Kulkarni, Patrick Siarry ISBN 9780367753030 0367753030
SKU: EB-33448518
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Handbook of AI-based Metaheuristics 1st Edition Anand J. Kulkarni Digital Instant Download

Author(s): Anand J. Kulkarni, Patrick Siarry

ISBN(s): 9780367753030, 0367753030

Edition: 1

File Details: PDF, 21.14 MB

Year: 2021

Language: English

SKU: EB-33448518 Category: Computers - Computer Science Tags: Anand J. Kulkarni, Patrick Siarry

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Handbook of AI based Metaheuristics 1st Edition by Anand Kulkarni, Patrick Siarry – Ebook PDF Instant Download/Delivery: 9780367753030 ,0367753030
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ISBN 10: 0367753030
ISBN 13: 9780367753030
Author: Anand Kulkarni, Patrick Siarry

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Handbook of AI based Metaheuristics 1st Edition Table of contents:

SECTION I Bio-Inspired Methods

Chapter 1 Brain Storm Optimization Algorithm

Chapter 2 Fish School Search: Account for the First Decade

Chapter 3 Marriage in Honey Bees Optimization in Continuous Domains

Chapter 4 Structural Optimization Using Genetic Algorithm

SECTION II Physics and Chemistry-Based Methods

Chapter 5 Gravitational Search Algorithm: Theory, Literature Review, and Applications

Chapter 6 Stochastic Diffusion Search

SECTION III Socio-inspired Methods

Chapter 7 The League Championship Algorithm: Applications and Extensions

Chapter 8 Cultural Algorithms for Optimization

Chapter 9 Application of Teaching-Learning-Based Optimization on Solving of Time Cost Optimization Problems

Chapter 10 Social Learning Optimization

Chapter 11 Constraint Handling in Multi-Cohort Intelligence Algorithm

SECTION IV Swarm-Based Methods

Chapter 12 Bee Colony Optimization and Its Applications

Chapter 13 A Bumble Bees Mating Optimization Algorithm for the Location Routing Problem with Stochastic Demands

Chapter 14 A Glowworm Swarm Optimization Algorithm for the Multi-Objective Energy Reduction Multi-Depot Vehicle Routing Problem

Chapter 15 Monarch Butterfly Optimization

Index

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