Multi-Objective Optimization Problems

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  • Multi-Objective Optimization Problems Book Detail

  • Author : Fran Sérgio Lobato
  • Release Date : 2017-07-03
  • Publisher : Springer
  • Genre : Mathematics
  • Pages : 170
  • ISBN 13 : 3319585657
  • File Size : 89,89 MB

Multi-Objective Optimization Problems by Fran Sérgio Lobato PDF Summary

Book Description: This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in multi-objective optimization and applications in mathematical and engineering system design using a new optimization strategy, namely the Self-Adaptive Multi-objective Optimization Differential Evolution (SA-MODE) algorithm. This strategy is proposed in order to reduce the number of evaluations of the objective function through dynamic update of canonical Differential Evolution parameters (population size, crossover probability and perturbation rate). The methodology is applied to solve mathematical functions considering test cases from the literature and various engineering systems design, such as cantilevered beam design, biochemical reactor, crystallization process, machine tool spindle design, rotary dryer design, among others.

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Multi-Objective Optimization Problems

Multi-Objective Optimization Problems

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This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The pres

Multiobjective Optimization

Multiobjective Optimization

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Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically e