GENITOR II.: a distributed genetic algorithm
Journal of Experimental & Theoretical Artificial Intelligence
Foundations of genetic algorithms
Foundations of genetic algorithms
A genetic algorithm for packing in three dimensions
SAC '92 Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's
SAC '92 Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's
LibGA: a user-friendly workbench for order-based genetic algorithm research
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
Manipulating subpopulations of feasible and infeasible solutions in genetic algorithms
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Simulated Annealing
Genetic Algorithms and Simulated Annealing
Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator
Proceedings of the 3rd International Conference on Genetic Algorithms
Using Genetic Algorithms to Solve NP-Complete Problems
Proceedings of the 3rd International Conference on Genetic Algorithms
A Parallel Genetic Heuristic for the Quadratic Assignment Problem
Proceedings of the 3rd International Conference on Genetic Algorithms
Multiple Vehicle Routing with Time and Capacity Constraints Using Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
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LibGA, HYPERGEN and GATutor represent a trio of in-house developed genetic algorithm software packages for conducting research in combinatorial optimization problems. For a variety of reasons, these packages were developed using the C programming language on a Unix platform, specifically a Sun workstation. We used these packages successfully in developing sequential and parallel genetic algorithms for solving numerous combinatorial optimization problems. Several of these combinatorial optimization research projects and their results are described.