Metaheuristics in water, geotechnical and transport engineering /

"Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design opt...

Full description

Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Yang, Xin-She
Format: eBook
Language:English
Published: Amsterdam ; Boston : Elsevier, 2012.
Edition:1st ed.
Series:Elsevier insights.
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

Tag First Indicator Second Indicator Subfields
LEADER 00000cam a2200000 a 4500
001 in00005750411
005 20260326192727.9
006 m o d
007 cr cnu---unuuu
008 120906s2012 ne a ob 000 0 eng d
010 |a  2012942229 
040 |a OPELS  |b eng  |e pn  |c OPELS  |d N$T  |d YDXCP  |d CDX  |d COO  |d EBLCP  |d CUV  |d OCLCF  |d DEBBG  |d LRU  |d OCLCQ  |d NLGGC  |d DEBSZ  |d OCLCQ  |d MERUC  |d U3W  |d OCLCQ  |d ERF  |d OCLCQ  |d LUN  |d S2H  |d OCLCO  |d OCLCQ  |d VT2  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCL  |d SXB  |d OCLCQ  |d UKKRT  |d OCLCL 
019 |a 826897308  |a 1235842091 
020 |a 9780123983176  |q (electronic bk.) 
020 |a 0123983177  |q (electronic bk.) 
020 |a 9781283619912  |q (MyiLibrary) 
020 |a 1283619911  |q (MyiLibrary) 
020 |z 9780123982964 
020 |z 0123982960 
035 |a (OCoLC)809248725  |z (OCoLC)826897308  |z (OCoLC)1235842091 
050 4 |a QA402.5  |b .M48 2013 
072 7 |a MAT  |x 042000  |2 bisacsh 
082 0 4 |a 519.6  |2 23 
084 |a 54.10  |2 bcl 
049 |a TXAM 
245 0 0 |a Metaheuristics in water, geotechnical and transport engineering /  |c edited by Xin-She Yang [and others]. 
250 |a 1st ed. 
260 |a Amsterdam ;  |a Boston :  |b Elsevier,  |c 2012. 
300 |a 1 online resource (xvii, 484 pages) :  |b illustrations 
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 Elsevier insights 
504 |a Includes bibliographical references. 
505 0 |a pt. 1. Water resources -- pt. 2. Geotechnical engineering -- pt. 3. Transport engineering. 
520 |a "Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks."--Publisher's website. 
588 0 |a Print version record. 
650 0 |a Mathematical optimization. 
650 0 |a Engineering mathematics. 
650 6 |a Optimisation mathématique. 
650 6 |a Mathématiques de l'ingénieur. 
650 7 |a MATHEMATICS  |x Optimization.  |2 bisacsh 
650 7 |a Engineering mathematics  |2 fast 
650 7 |a Mathematical optimization  |2 fast 
655 7 |a Electronic books.  |2 local 
700 1 |a Yang, Xin-She. 
710 2 |a ScienceDirect (Online service) 
758 |i has work:  |a Metaheuristics in water, geotechnical and transport engineering (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCFF6KcGWwxgDHxXBBKTMbm  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |t Metaheuristics in water, geotechnical and transport engineering.  |b 1st ed.  |d Amsterdam ; Oxford : Elsevier, ©2012  |z 9780123982964  |w (OCoLC)797975112 
830 0 |a Elsevier insights. 
856 4 0 |u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/book/9780123982964  |z Connect to the full text of this electronic book  |t 0 
955 |a Elsevier ScienceDirect 2026-2027 
994 |a 92  |b TXA 
999 f f |i 1be47d9c-b0a3-4645-ad1a-9f1fd7d64c55  |s 9ac4b61d-2b0b-49e8-b6ed-6be42d420548  |t 0 
952 f f |a Texas A&M University  |b College Station  |c Electronic Resources  |s www_evans  |d Available Online  |t 0  |e QA402.5 .M48 2013  |h Library of Congress classification 
998 f f |a QA402.5 .M48 2013  |t 0  |l Available Online