Parallel recombinative simulated annealing: a genetic algorithm. 27 pp.
Mahfoud, S. W., & Goldberg, D. E. (1993)TR No.: 93006 | Download PDF | Download PS
Abstract:
Related PostsParallel recombinative simulated annealing: a genetic algorithm. 28 pp.Probabilistic crowding: deterministic crowding with probabilistic replacementA Survey of Parallel Genetic Algorithms. 28pp.
Posted: January 20th, 1993 under Genetic algorithms. Comments: none
Multiobjective optimization using the niched Pareto genetic algorithm . 32 pp.
Horn, J., & Nafpliotis, N. (1993)TR No.: 93005 | Download PDF | Download PS
Abstract:
Related PostsAccuracy, Parsimony, and Generality in Evolutionary LearningSystems via Multiobjective SelectionDynamic Uniform Scaling for Multiobjective Genetic AlgorithmsMultiobjective hBOA, Clustering, and Scalability
Posted: January 16th, 1993 under Genetic algorithms. Comments: none
Information transmission in genetic algorithms and Shannon’s second theorem. 10 pp.
Kargupta, H. (1993)TR No.: 93003 | Download PDF | Download PS
Abstract:
Related PostsNo related posts
Posted: January 12th, 1993 under Genetic algorithms. Comments: none
Rapid, Accurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
Goldberg, D.E., Deb, K., Kargupta, H., Harik, G. (1993)TR No.: 93004 | Download PDF | Download PS
Abstract:
Researchers have long sought genetic algorithms (GAs) that can solve difficult search, optimization, and machine learning problems quickly. Despite years of work on simple GAs and their variants it is still unknown how difficult a problem simple GAs can solve, how quickly they can solve it, and with what reliability. More radical design departures than […]
Posted: January 8th, 1993 under Genetic algorithms. Comments: none
Simple Analytical Models of Genetic Algorithms for Multimodal Function Optimization
Mahfoud, S.W. (1993)TR No.: 93001 | Download PDF | Download PS
Abstract:
This paper presents simple analytical models of genetic algorithms which are commonly used in multimodal function optimization. The methodology for constructing the models is similar throughout the study. The predictive value of each model is verified by running the corresponding genetic algorithm on various multimodal functions of varying complexity.
Related PostsGenetic algorithms with dynamic niche sharing […]
Posted: January 8th, 1993 under Genetic algorithms. Comments: none
Finite Markov chain analysis of genetic algorithms with niching. 13 pp.
Horn, J. (1993)TR No.: 93002 | Download PDF | Download PS
Abstract:
Related PostsA Markov chain analysis of parallel genetic algorithms with arbitrary topologies and migration rates.On the importance of the second largest eigenvalue on the
convergence rate of genetic algorithmsOptimal Classifier System Performance in Non-Markov Environments
Posted: January 8th, 1993 under Genetic algorithms. Comments: none