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- W2466619790 abstract "Shi, Yu, M.S., May 1992 Computer Science A Genetic System for Transportation Problems (106 pp.) A genetic algorithm is a stochastic adaptive algorithm whose search method is based on simulation of natural selection and natural genetics. It is useful for solving optimization problems in which finding a guaranteed optimal solution is too expensive. This paper describes genetic algorithms for solving linear and nonlinear transportation problems. A population member was represented as a matrix. Special mutation and crossover operators were developed for this problem. Local hill climbing was applied in the algorithm for the linear transportation problems to rapidly search the solution space. The results seem promising compared to solutions from standard operations research methods and better than solutions from other genetic algorithm methods[13][18]. Director: Dr. Alden H. Wrighl" @default.
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- W2466619790 title "Genetic system for transportation problems" @default.
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