TY  - BOOK
AU  - Gen,Mitsuo
AU  - Cheng,Runwei
AU  - Lin,Lin
ED  - SpringerLink (Online service)
TI  - Network Models and Optimization: Multiobjective Genetic Algorithm Approach 
T2  - Decision Engineering,
SN  - 9781848001817
AV  - TA177.4-185 
U1  - 658.5 23
PY  - 2008///
CY  - London
PB  - Springer London
KW  - Engineering
KW  - Computer software
KW  - Combinatorics
KW  - Engineering economy
KW  - Engineering Economics, Organization, Logistics, Marketing
KW  - Operations Research/Decision Theory
KW  - Algorithm Analysis and Problem Complexity
N1  - Multiobjective Genetic Algorithms -- Basic Network Models -- Logistics Network Models -- Communication Network Models -- Advanced Planning and Scheduling Models -- Project Scheduling Models -- Assembly Line Balancing Models -- Tasks Scheduling Models -- Advanced Network Models
N2  - Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. Network Models and Optimization: Multiobjective Genetic Algorithm Approach extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, travelling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. Network Models and Optimization: Multiobjective Genetic Algorithm Approach can be used both as a student textbook and as a professional reference for practitioners in many disciplines who use network optimization methods to model and solve problems
UR  - http://dx.doi.org/10.1007/978-1-84800-181-7
ER  -