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Applications Of Multi-objective Evolutionary Algorithms

By: Carlos A Coello Coello, Gary B Lamont

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Hardcover | 9 December 2004

At a Glance

Hardcover
792 Pages

Dimensions(cm)
22.86 x 15.88 x 4.45

Hardcover

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This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Mathematics Optimisation Applied Mathematics Stochastics Computer Science Artificial Intelligence Systems Analysis & Design Groups & Group Theory

Booktopia Publisher Services World Scientific Publishing Science Astronomy, Space & Time

An introduction to multi-objective evolutionary algorithms and their applications	p. 1
Applications of multi-objective evolutionary algorithms in engineering design	p. 29
Optimal design of industrial electromagnetic devices : a multiobjective evolutionary approach	p. 53
Groundwater monitoring design : a case study combining epsilon dominance archiving and automatic parameterization for the NSGA-II	p. 79
Using a particle swarm optimizer with a multi-objective selection scheme to design combinational logic circuits	p. 101
Application of multi-objective evolutionary algorithms in autonomous vehicles navigation	p. 125
Automatic control system design via a multiobjective evolutionary algorithm	p. 155
The use of evolutionary algorithms to solve practical problems in polymer extrusion	p. 177
Evolutionary multi-objective optimization of trusses	p. 201
City and regional planning via a MOEA : lessons learned	p. 227
A multi-objective evolutionary algorithm for the covering tour problem	p. 247
A computer engineering benchmark application for multiobjective optimizers	p. 269
Multiobjective aerodynamic design and visualization of supersonic wings by using adaptive range multiobjective genetic algorithms	p. 295
Applications of a multi-objective genetic algorithm in chemical and environmental engineering	p. 317
Multi-objective spectroscopic data analysis of inertial confinement fusion implosion cores : plasma gradient determination	p. 341
Application of multiobjective evolutionary optimization algorithms in medicine	p. 365
On machine learning with multiobjective genetic optimization	p. 393
Generalized analysis of promoters : a method for DNA sequence description	p. 427
Multi-objective evolutionary algorithms for computer science applications	p. 451
Design of fluid power system using a multi objective genetic algorithm	p. 483
Elimination of exceptional elements in cellular manufacturing systems using multi-objective genetic algorithms	p. 505
Single-objective and multi-objective evolutionary flowshop scheduling	p. 529
Evolutionary operators based on elite solutions for bi-objective combinatorial optimization	p. 555
Multi-objective rectangular packing problem	p. 581
Multi-objective algorithms for attribute selection in data mining	p. 603
Financial applications of multi-objective evolutionary algorithms : recent developments and future research directions	p. 627
Evolutionary multi-objective optimization approach to constructing neural network ensembles for regression	p. 653
Optimizing forecast model complexity using multi-objective evolutionary algorithms	p. 675
Even flow scheduling problems in forest management	p. 701
Using diversity in guide the search in multi-objective optimization	p. 727
Table of Contents provided by Blackwell. All Rights Reserved.

Applications Of Multi-objective Evolutionary Algorithms

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Hardcover

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