An efficient approach integrating genetic algorithm, linear programming, and ordinal optimization for linear mixed-integer programming problems

International Journal of Smart Engineering System Design

Volumn 3, Issue 4, 2001, Pages 279-287

  Luo, Yuh Chyun ^a   Chen, Chun Hung ^a   Guignard, Monique ^a  

^a Krasnow Institute for Advanced Study   (United States)

Author keywords

Evolutionary computation; Genetic algorithm; Linear mixed integer programming; Linear programming; Ordinal optimization; Simulation

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; GENETIC ALGORITHMS; INTEGER PROGRAMMING; LEARNING SYSTEMS; NUMERICAL METHODS; SCHEDULING;

LINEAR MIXED-INTEGER PROGRAMMING PROBLEMS; NUMERICAL TESTING; ORDINAL OPTIMIZATION;

LINEAR PROGRAMMING;

EID: 0035575069     PISSN: 10255818     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Routing and scheduling problems
2. A new genetic approach for the traveling salesman problem
3. An efficient genetic algorithm for job shop scheduling problems
4. Using genetic algorithms to solve NP-complete problems
5. Evolutionary design and development techniques for an 8-legged robot
6. Mapping, order-independent genes and the knapsack problem
7. Solving the TSP problem with a new model in evolutionary computation
8. Ordinal optimization of DEDS
9. Motion planning of walking robots in environments with uncertainty
10. Motion planning of walking robots using ordinal optimization
11. The problem of large search space in stochastic optimization
12. An analysis of behavior of a class of genetic adaptive systems
13. Classifier systems and genetic algorithms
14. Generalized convergence models for tournament-and (μ,λ)-selection
15. Solving some difficult mixed integer programming problems in production and forest management