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Multi-Objective Optimization using Evolutionary Algorithms / Kalyanmoy Deb
Material type:
TextPublication details: New Delhi Wiley India Pvt. Ltd. 2014Description: xix, 515p. : ill. ; 23cmISBN: - 9788126528042
- 23rd 519.3 DEB
| 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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