Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Using MPI-2: Advanced Features of the Message Passing Interface
Using MPI-2: Advanced Features of the Message Passing Interface
A Taxonomy of Hybrid Metaheuristics
Journal of Heuristics
Beowulf Cluster Computing with Linux
Beowulf Cluster Computing with Linux
Ant Colony Optimization
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence (IEEE Press Series on Computational Intelligence)
Concurrency and Computation: Practice & Experience
Particle Swarm Optimization for the Multidimensional Knapsack Problem
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Nature-Inspired Metaheuristic Algorithms
Nature-Inspired Metaheuristic Algorithms
A parallel genetic algorithm for protein folding prediction using the 3D-HP side chain model
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
New inspirations in swarm intelligence: a survey
International Journal of Bio-Inspired Computation
An enhanced genetic algorithm for protein structure prediction using the 2d hydrophobic-polar model
EA'05 Proceedings of the 7th international conference on Artificial Evolution
Preface to the Special Issue on intelligent distributed computing
Concurrency and Computation: Practice & Experience
An ecology-based heterogeneous approach for cooperative search
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
Biological plausibility in optimisation: an ecosystemic view
International Journal of Bio-Inspired Computation
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This paper reports the hybridization of the artificial bee colony (ABC) and a genetic algorithm (GA), in a hierarchical topology, a step ahead of a previous work. We used this parallel approach for solving the protein structure prediction problem using the three-dimensional hydrophobic-polar model with side-chains (3DHP-SC). The proposed method was run in a parallel processing environment (Beowulf cluster), and several aspects of the modeling and implementation are presented and discussed. The performance of the hybrid-hierarchical ABC-GA approach was compared with a hybrid-hierarchical ABC-only approach for four benchmark instances. Results show that the hybridization of the ABC with the GA improves the quality of solutions caused by the coevolution effect between them and their search behavior. Copyright © 2011 John Wiley & Sons, Ltd.