Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
An introduction to genetic algorithms
An introduction to genetic algorithms
Evaluating evolutionary algorithms
Artificial Intelligence - Special volume on empirical methods
The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
Genetic Programming and Evolvable Machines
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
A new dynamical evolutionary algorithm based on statistical mechanics
Journal of Computer Science and Technology
Mapping the royal road and other hierarchical functions
Evolutionary Computation
Hyperplane ranking, nonlinearity and the simple genetic algorithm
Information Sciences: an International Journal - Special issue: Evolutionary computation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms
Evolutionary Computation
Hyperspace Geography: Visualizing Fitness Landscapes beyond 4D
Artificial Life
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Proceedings of the 8th annual conference on Genetic and evolutionary computation
The speciating island model: an alternative parallel evolutionary algorithm
Journal of Parallel and Distributed Computing - Special issue on parallel bioinspired algorithms
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Variable discrimination of crossover versus mutation using parameterized modular structure
Proceedings of the 9th annual conference on Genetic and evolutionary computation
A building-block royal road where crossover is provably essential
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Crossover and Evolutionary Stability in the Prisoner's Dilemma
Evolutionary Computation
Voronoi-initializated island models for solving real-coded deceptive problems
Proceedings of the 10th annual conference on Genetic and evolutionary computation
CrossNet: a framework for crossover with network-based chromosomal representations
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A practical search index and population size analysis based on the building block hypothesis
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Understanding the Semantics of the Genetic Algorithm in Dynamic Environments
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Dependency structure matrix, genetic algorithms, and effective recombination
Evolutionary Computation
Visualisation of building blocks in evolutionary algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Improving the success of recombination by varying broodsize and sibling rivalry
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Effect of parent selection and sibling rivalry on building-block assembly
Natural Computing: an international journal
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Efficient use of variation in evolutionary optimization
Applied Computational Intelligence and Soft Computing - Special issue on theory and applications of evolutionary computation
A GA-based approach for optimizing single-part flow-line configurations of RMS
Journal of Intelligent Manufacturing
The crowdsourcing design space
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Chi-Square matrix: an approach for building-block identification
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
A new algorithm of evolutionary computation: bio-simulated optimization
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Darwinian rivers: evolving stream topographies to match hyporheic residence time distributions
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Explaining optimization in genetic algorithms with uniform crossover
Proceedings of the twelfth workshop on Foundations of genetic algorithms XII
Optimizing green production strategies: An integrated approach
Computers and Industrial Engineering
Modeling information diffusion and community membership using stochastic optimization
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
MODM: multi-objective diffusion model for dynamic social networks using evolutionary algorithm
The Journal of Supercomputing
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Building blocks are a ubiquitous feature at all levels of human understanding, from perception through science and innovation. Genetic algorithms are designed to exploit this prevalence. A new, more robust class of genetic algorithms, cohort genetic algorithms (cGA's), provides substantial advantages in exploring search spaces for building blocks while exploiting building blocks already found. To test these capabilities, a new, general class of test functions, the hyperplane-defined functions (hdf's), has been designed. Hdf's offer the means of tracing the origin of each advance in performance; at the same time hdf's are resistant to reverse engineering, so that algorithms cannot be designed to take advantage of the characteristics of particular examples.