Titlebook: Network Models and Optimization; Multiobjective Genet Mitsuo Gen,Runwei Cheng,Lin Lin Book 2008 Springer-Verlag London 2008 Genetic Algorit

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Multiobjective Genetic Algorithms,timization techniques. Since the 1960s there has been being an increasing interest in imitating living beings to solve such kinds of hard optimization problems. Simulating natural evolutionary processes of human beings results in stochastic optimization techniques called evolutionary algorithms (EAs

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Basic Network Models,heory and combinatorial optimization. A lot of optimization problems in network design arose directly from everyday practice in engineering and management: determining shortest or most reliable paths in traffic or communication networks, maximal or compatible flows, or shortest tours; planning conne

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Logistics Network Models,ly chain and world-wide logistics become imperative for the business world. How to manage logistics system efficiently thas hus become a key issue for almost all of the enterprises to reduce their various costs in today’s keenly competitive environment of business, especially for many multinational

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Advanced Planning and Scheduling Models,ments where simpler planning methods cannot adequately address complex trade-offs between competing priorities. However, most scheduling problems of APS in the real world face inevitable constraints such as due date, capability, transportation cost, set up cost and available resources. Generally spe

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Project Scheduling Models,en influence the requirement of other types. Each activity in a project may be performed in one of a set of prescribed ways as the predecessor. The resource-constrained project scheduling problem (rc-PSP) is a classical well-known problem where activities of a project must be scheduled to minimize t

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Assembly Line Balancing Models,ion of . (ALs). In 1913, Henry Ford completely changed the general concept of assembly by introducing ALs in automobile manufacturing for the first time. He was the first to introduce a moving belt in a factory, where the workers were able to build the famous model-T cars, one piece at a time instea

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duces recent model approaches with applications.Includes app.Many different single-cell-based models have been developed and applied to biological and medical problems. Computational approaches used are Monte-Carlo simulations, energy minimisation techniques, volume conservation laws, solutions of t