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98 015

Eliminating memory leak in MGA-C program.

Kosorukoff, A. (1998)
TR No.: 98015 | Download PDF | Download PS

Abstract:
Related PostsAn Implementation of the Anticipatory Classifier System ACS2 in C++The compact genetic algorithm. 21pp.Optimal Classifier System Performance in Non-Markov Environments

98 014

Designing a genetic algorithm using the linkage identification by nonlinearity check.

Munetomo, M. and Goldberg, D.E. (1998)
TR No.: 98014 | Download PDF | Download PS

Abstract:
Related PostsIdentifying linkage by nonlinearity check.Simplex crossover and linkage identification: Single-stage evolution vs. multi-stage evolutionLinkage identification by non-monotonicity detection for overlapping functions

98 013

Linkage problem, distribution estimation, and Bayesian networks.

Pelikan, M., Goldberg, D.E. and Cantu-Paz, E. (1998)
TR No.: 98013 | Download PDF | Download PS

Abstract:
Related PostsBOA: The Bayesian optimization algorithm.Sub-structural Niching in Estimation of Distribution AlgorithmsBayesian Optimization Algorithm, Decision Graphs, and Occam’s Razor

98 012

Identifying linkage by nonlinearity check.

Munetomo, M. and Goldberg, D.E. (1998)
TR No.: 98012 | Download PDF | Download PS

Abstract:
Related PostsDesigning a genetic algorithm using the linkage identification by nonlinearity check.Extending the Scalability of Linkage Learning Genetic Algorithms: Theory and PracticeA Survey of Linkage Learning Techniques in Genetic and Evolutionary Algorithms

98 010

A Markov chain analysis of parallel genetic algorithms with arbitrary topologies and migration rates.

CantĂș-Paz E. (1998)
TR No.: 98010 | Download PDF | Download PS

Abstract:
Related PostsTopologies, migration rates and multi-population parallel genetic algorithms.Predicting speedups of idealized bounding cases of parallel genetic algorithms.Finite Markov chain analysis of genetic algorithms with niching. 13 pp.

98 009

Designing scalable multi-population parallel genetic algorithms.

CantĂș-Paz E. (1998)
TR No.: 98009 | Download PDF | Download PS

Abstract:
Related PostsDesigning efficient master-slave parallel genetic algorithms. 12pp.Parallel genetic algorithms with distributed panmictic populations.A Survey of Parallel Genetic Algorithms. 28pp.

98 008

From genetic and evolutionary optimization to the design of conceptual machines.

Goldberg, D.E. (1998)
TR No.: 98008 | Download PDF | Download PS

Abstract:
Related PostsToward a mechanics of conceptual machines. 9pp.Genetic algorithms as a computational theory of conceptual design. 14 pp.Evolutionary Algorithms and De Novo Peptide Design

98 007

The race, the hurdle, and the sweet spot: lessons rom genetic algorithms for the automation of design innovation and creativity.

Goldberg, D.E. (1998)
TR No.: 98007 | Download PDF | Download PS

Abstract:
Related PostsThe design of innovation: lessons from genetic algorithms, lessons for the real world.A Hydroinformatician’s Approach to Computational Innovation and the Design of Genetic AlgorithmsThe Innovation Pump: Supporting Creative Processes in Collaborative Engineering

98 006

Linkage learning genetic algorithm in C++ .

Lobo, F., Harik, G., and Goldberg, D.E. (1998)
TR No.: 98006 | Download PDF | Download PS

Abstract:
Related PostsTightness Time for the Linkage Learning Genetic AlgorithmA Survey of Linkage Learning Techniques in Genetic and Evolutionary AlgorithmsIntroducing Subchromosome Representations to the Linkage Learning Genetic Algorithms

98 005

Teamwork for a quality education: low-cost, effective educational reform, through a department-wide competition of teams.

Goldberg, D.E., Hall, W.B., Krussow, L., Lee, E., Walker, A. (1998)
TR No.: 98005 | Download PDF | Download PS

Abstract:
Related PostsDesigning Efficient Genetic and Evolutionary Algorithm HybridsQuality and Efficiency of Model Building for Genetic AlgorithmsAnticipation for Learning, Cognition, and Education