Network Models and Optimization: Multiobjective Genetic Algorithm ApproachNetwork 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. |
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... step size, and if the ratio is less than 1/5 then decrease the step size. Davis's “adaptive operator fitness” utilizes feedback on the success of a larger number of reproduction operators to adjust the ratio being used [39]. Julstrom's ...
... step in each generation becomes a loop; each time through the loop the appropriate fraction of the next generation ... step 1 2 step 2 Shuffle step 3 Selectn subgroups using each objective in turn ... . . . Apply genetic operators ...
... Step 2: Step 60 2 Basic Network Models. min z1 = n ∑ i=1 n ∑ j=1 cijxij (2.4) n n min z2 = ∑ i=1 ∑ j=1 dijxij (2.5) ⎧ ⎨ ⎩ n ∑ j=1 x ij − n ∑ k=1 x ki = −1 (i = n) 1 (i = 1) 0 (i = s. t. 2,3,···,n−1) (2.6) xij = ...
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Contents
1 | |
49 | |
Logistics Network Models | 135 |
Communication Network Models | 229 |
Advanced Planning and Scheduling Models | 297 |
Project Scheduling Models | 419 |
Assembly Line Balancing Models | 477 |
Tasks Scheduling Models | 551 |
References | 604 |
Index | 687 |
Other editions - View all
Network Models and Optimization: Multiobjective Genetic Algorithm Approach Mitsuo Gen,Runwei Cheng,Lin Lin No preview available - 2008 |
Network Models and Optimization: Multiobjective Genetic Algorithm Approach Mitsuo Gen,Runwei Cheng,Lin Lin No preview available - 2010 |