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Multi-Objective Optimization using Artificial Intelligence Techniques

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This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.3 SEY m

Penerbit

Switzerland : Springer., 2020

Deskripsi Fisik

xi + 58 hlm.; 23 cm

Bahasa

English

ISBN/ISSN

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Klasifikasi

006.3

Tipe Isi

text

Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

AI

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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