|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
on1110226713 |
| 003 |
OCoLC |
| 005 |
20240909213021.0 |
| 006 |
m o d |
| 007 |
cr nn||||mamaa |
| 008 |
190725s2020 sz a ob 000 0 eng d |
| 040 |
|
|
|a LQU
|b eng
|e rda
|e pn
|c LQU
|d GW5XE
|d OCLCF
|d OCLCQ
|d YDXIT
|d LVT
|d STF
|d UKMGB
|d YDX
|d OCLCQ
|d OCLCO
|d OCLCL
|d OCLCQ
|
| 015 |
|
|
|a GBC065981
|2 bnb
|
| 016 |
7 |
|
|a 019481226
|2 Uk
|
| 019 |
|
|
|a 1152767174
|a 1153300659
|
| 020 |
|
|
|a 9783030248352
|q (electronic book)
|
| 020 |
|
|
|a 3030248356
|q (electronic book)
|
| 024 |
8 |
|
|a 10.1007/978-3-030-24
|
| 035 |
|
|
|a (OCoLC)1110226713
|z (OCoLC)1152767174
|z (OCoLC)1153300659
|
| 037 |
|
|
|a com.springer.onix.9783030248352
|b Springer Nature
|
| 050 |
|
4 |
|a QA402.5
|b .M57 2020
|
| 049 |
|
|
|a HCDD
|
| 100 |
1 |
|
|a Mirjalili, Seyedali,
|e author.
|
| 245 |
1 |
0 |
|a Multi-Objective Optimization using Artificial Intelligence Techniques /
|c Seyedali Mirjalili, Jin Song Dong.
|
| 264 |
|
1 |
|a Cham :
|b Springer,
|c [2020]
|
| 300 |
|
|
|a 1 online resource (XI, 58 pages) :
|b illustrations (some color)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a SpringerBriefs in applied sciences and technology. Computational intelligence,
|x 2625-3704
|
| 504 |
|
|
|a Includes bibliographical references.
|
| 520 |
|
|
|a 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.
|
| 588 |
0 |
|
|a Online resource; title from digital title page (viewed on April 30, 2020).
|
| 650 |
|
0 |
|a Mathematical optimization.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
7 |
|a artificial intelligence.
|2 aat
|
| 650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
|
| 650 |
|
7 |
|a Mathematical optimization.
|2 fast
|0 (OCoLC)fst01012099
|
| 700 |
1 |
|
|a Dong, Jin Song,
|d 1967-
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PCjqvMJmGpwbKXyGVwMMH83
|
| 830 |
|
0 |
|a SpringerBriefs in applied sciences and technology.
|p Computational intelligence.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-24835-2
|y Click for online access
|
| 903 |
|
|
|a SPRING-ROBOTICS2020
|
| 994 |
|
|
|a 92
|b HCD
|