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Multi-Objective Optimization using Evolutionary Algorithms / Kalyanmoy Deb

By: Material type: TextTextPublication details: New Delhi Wiley India Pvt. Ltd. 2014Description: xix, 515p. : ill. ; 23cmISBN:
  • 9788126528042
Subject(s): DDC classification:
  • 23rd 519.3 DEB
Online resources:
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode
Reference Book VIT-AP General Stacks Reference 519.3 DEB (Browse shelf(Opens below)) Not for loan MATH 018962
Text Book VIT-AP General Stacks 519.3 DEB (Browse shelf(Opens below)) Checked out to S V Gomathi (70663) MATH 2025-07-24 018963
Text Book VIT-AP General Stacks 519.3 DEB (Browse shelf(Opens below)) Available MATH 018964
Text Book VIT-AP General Stacks 519.3 DEB (Browse shelf(Opens below)) Available MATH 018965
Text Book VIT-AP General Stacks 519.3 DEB (Browse shelf(Opens below)) In transit from VIT-AP to School of Advanced Studies-Maths Section since 2024-11-19 MATH 018966

It includes Epilogue, References and Index Pages
Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.

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