A genetic algorithm for the linear transportation problem
- 1 January 1991
- journal article
- letter
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. 21 (2), 445-452
- https://doi.org/10.1109/21.87092
Abstract
Genetic algorithms are adaptive procedures that find solutions to problems by an evolutionary process based on natural selection. The use of alternative genetic algorithms for solving the linear transportation problem is discussed. Using it as an example the relationship between representation structures and genetic operators is investigated for constrained problems and demonstrate the value of structures richer than bitstrings.This publication has 4 references indexed in Scilit:
- GENOCOPCommunications of the ACM, 1996
- A Nonstandard Genetic Algorithm for the Nonlinear Transportation ProblemINFORMS Journal on Computing, 1991
- A genetic algorithm for the linear transportation problemIEEE Transactions on Systems, Man, and Cybernetics, 1991
- Optimization of Control Parameters for Genetic AlgorithmsIEEE Transactions on Systems, Man, and Cybernetics, 1986