MARC details
| 000 -LEADER |
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| fixed length control field |
02815nam\a2200385\a\4500 |
| 001 - CONTROL NUMBER |
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| control field |
57798 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20260514191948.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
260514t20242024nyua b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| ISBN |
9781633438835 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN |
9781633438835 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDX |
| Language of cataloging |
eng |
| Transcribing agency |
YDX |
| Modifying agency |
JRZ |
| -- |
OCLCO |
| -- |
AUXAM |
| -- |
BDX |
| -- |
NUI |
| -- |
OCLCO |
| -- |
DLC |
| -- |
DLC-MRC |
| -- |
BD-DhIUB |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| Item number |
K452o |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Khamis, Alaa M. |
| Relator term |
author |
| Relator code |
aut |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Optimization algorithms : |
| Remainder of title |
AI techniques for design, planning, and control problems / |
| Statement of responsibility, etc |
Alaa Khamis. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York: |
| Name of publisher, distributor, etc |
Manning Publications Co. |
| Date of publication, distribution, etc |
2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xx, 513 pages |
| Other physical details |
illustrations |
| Dimensions |
23 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references (pages 492-496) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Part 1. Deterministic search algorithms. Introduction to search and optimization -- A deeper look at search and optimization -- Blind search algorithms -- Informed search algorithms -- Part 2. Trajectory-based algorithms. Simulated annealing -- Tabu search -- Part 3. Evolutionary computing algorithms. Genetic algorithms -- Genetic algorithm variants -- Part 4. Swarm intelligence algorithms. Particle swarm optimization -- Other swarm intelligence algorithms to explore -- Part 5. Machine learning-based methods. Supervised and unsupervised learning -- Reinforcement learning. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Every time you call for a rideshre, order food delivery, book a flight, or schedule a hospital appointement, an algorithm works behind the scenes to find the optimal result. Blending modern AI methods with classical search and optimization techniques can deliver incredible results, especially for the messy problems you encounter in the real world. This book shows you how. Optimization algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization algorithms to real-world problems like pricing products, matching supply with demand, balancing assembly lines, tuning parameters, coordinating mobile networks, and cracking smart mobility challenges. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| School name |
School of engineering, Technology &Sciences |
| Department |
Physical Science |
| Shelving Location |
Reference Stacks |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Source of acquisition |
law |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer algorithms |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Metaheuristics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematical optimization |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Nature-inspired algorithms |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Algorithmes |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Optimisation mathématique |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Algorithmes inspirés par la nature |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Apprentissage automatique |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Métaheuristiques |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
algorithms |
| Source of heading or term |
aat |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |