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92 011

Research note: long path problems for mutation-based algorithms. 7 pp.

Horn, J., Goldberg, D. E., & Deb, K. (1992)
TR No.: 92011 | Download PDF | Download PS

Abstract:
Related PostsLet’s Get Ready to Rumble: Crossover Versus Mutation Head to HeadLet’s Get Ready to Rumble Redux: Crossover Versus Mutation Head to Head on Exponentially Scaled ProblemsResearch on the Bayesian Optimization Algorithm

92 009

Toward a better understanding of mixing in genetic algorithms. 7 pp.

Goldberg, D. E., Deb, K., & Thierens, D. (1992)
TR No.: 92009 | Download PDF | Download PS

Abstract:
Related PostsAnalysis of Mixing in Genetic Algorithms: A SurveyHow Well Does a Single-Point Crossover Mixing Building Blocks with Tight Linkage?Time complexity of genetic algorithms on exponentially scaled problems

92 008

Genetic algorithms: a bibliography. 83 pp.

Goldberg, D. E., Milman, K., & Tidd, C. (1992)
TR No.: 92008 | Download PDF | Download PS

Abstract:
Related PostsGenetic algorithms: a bibliography. 233pp.Genetic algorithms: a bibliography.Genetic Algorithms: A Bibliography

92 007

What makes a problem hard for a classifier system? 6 pp.

Goldberg, D. E., Horn, J., & Deb, K. (1992)
TR No.: 92007 | Download PDF | Download PS

Abstract:
Related PostsImproving the Performance of a Pittsburgh Learning Classifier System Using a Default RuleNew Challenges for an Anticipatory Classifier System: Hard Problems and Possible SolutionsXCSLib: The XCS Classifier System Library

92 006

Ordering genetic algorithms and deception. 14 pp.

Kargupta, H., Deb, K., & Goldberg, D. E. (1992)
TR No.: 92006 | Download PDF | Download PS

Abstract:
Related PostsLarge-Scale Permutation Optimization with the Ordering Messy Genetic AlgorithmOMEGA - Ordering Messy GA : Solving Permutation Problems with the Fast Messy Genetic Algorithm and Random KeysOrdering messy genetic algorithm in C++

92 005

Massive multimodality, deception, and genetic algorithms. 13 pp.

Goldberg, D. E., Deb, K., & Horn, J. (1992)
TR No.: 92005 | Download PDF | Download PS

Abstract:
Related PostsDecomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution AlgorithmsBuilding Block Superiority, Multimodality and Synchronization
ProblemsTackling Multimodal Problems in Hybrid Genetic Algorithms

92 004

Crowding and preselection revisited. 14 pp.

Mahfoud, S. W. (1992)
TR No.: 92004 | Download PDF | Download PS

Abstract:
Related PostsProbabilistic crowding: deterministic crowding with probabilistic replacementEscaping Hierarchical Traps with Competent Genetic AlgorithmsThe Link and Node Biased Encoding Revisited: Bias and Adjustment of Parameters

92 003

Multimodal deceptive functions. 17 pp.

Deb, K., Horn, J., & Goldberg, D. E. (1992)
TR No.: 92003 | Download PDF | Download PS

Abstract:
Related PostsSimple Analytical Models of Genetic Algorithms for Multimodal Function OptimizationSufficient conditions for deceptive and easy binary functions. 13 pp.Construction of high-order deceptive functions from low-order Walsh coefficients.

92 002

Parallel recombinative simulated annealing: a genetic algorithm. 28 pp.

Mahfoud, S. W. (1992)
TR No.: 92002 | Download PDF | Download PS

Abstract:
Related PostsParallel recombinative simulated annealing: a genetic algorithm. 27 pp.Probabilistic crowding: deterministic crowding with probabilistic replacementA Survey of Parallel Genetic Algorithms. 28pp.

92 001

Sufficient conditions for deceptive and easy binary functions. 13 pp.

Deb, K., & Goldberg, D. E. (1992)
TR No.: 92001 | Download PDF | Download PS

Abstract:
Related PostsBinary Representation in Gene Expression Programming: Towards a Better ScalabilityThe Influence of Binary Representations of Integers on thePerformance of Selectorecombinative Genetic AlgorithmsMultimodal deceptive functions. 17 pp.