Hybrid constrained simulated annealing and genetic algorithms for nonlinear constrained optimization

Proceedings of the IEEE Conference on Evolutionary Computation, ICEC

Volumn 2, Issue , 2001, Pages 925-932

  Wah, B W ^a   Chen, Y ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; POPULATION STATISTICS; PROBLEM SOLVING; RANDOM PROCESSES; SIMULATED ANNEALING;

CONSTRAINED SIMULATED ANNEALING;

NONLINEAR PROGRAMMING;

EID: 0034863690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Depth-first iterative deepening: An optimal admissible tree search
2. Evolutionarynn algorithms, homomorphous mappings, and constrained parameter optimization
3. Genocop III: A co-evolutionary algorithm for numerical optimization problems with nonlinear constraints
4. Evolutionary algorithms for constrained parameter optimization problems
5. Optimal anytime constrained simulated annealing for constrained global optimization
6. Simulated annealing with asymptotic convergence for nonlinear constrained global optimization
7. The theory of discrete Lagrange multipliers for nonlinear discrete optimization