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A parallel hybrid genetic algorithm for protein structure prediction on the computational grid
TLDR
We propose a bicriterion parallel hybrid genetic algorithm (GA) in order to efficiently deal with the protein structure prediction problem using the computational grid. Expand
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A grid-based genetic algorithm combined with an adaptive simulated annealing for protein structure prediction
TLDR
A hierarchical hybrid model of parallel metaheuristics is proposed, combining an evolutionary algorithm and an adaptive simulated annealing. Expand
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On dynamic multi-objective optimization, classification and performance measures
TLDR
We propose a component-oriented classification for dynamic multi-objective optimization problems and introduce an online dynamic MNK-landscape formulation. Expand
  • 27
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, EVOLVE 2012, Mexico City, Mexico, August 7-9, 2012, Proceedings
TLDR
The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. Expand
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A Comparative Study of Parallel Metaheuristics for Protein Structure Prediction on the Computational Grid
TLDR
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random search method. Expand
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EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation IV [EVOLVE 2013, Leiden The Netherlands, July 10-13, 2013]
TLDR
Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Expand
  • 13
A classification of dynamic multi-objective optimization problems
TLDR
A classification of dynamic multi-objective optimization problems is proposed in this article. Expand
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Energy-Efficient Computing Using Agent-Based Multi-objective Dynamic Optimization
TLDR
An agent-based dynamic multi-objective evolutionary algorithm relying on simulation and anticipation mechanisms is presented in this chapter, and addresses several difficult issues in the energyefficient dynamic and autonomous management of distributed computing resources. Expand
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Docking and biomolecular simulations on computer grids: Status and trends
TLDR
This article outlines the recent developments in the field of large-scale parallel computing applied to molecular simulations, also including some original, preliminary contributions of the authors. Expand
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A Grid-Based Hybrid Hierarchical Genetic Algorithm for Protein Structure Prediction
TLDR
A hybrid hierarchical conformational sampling evolutionary algorithm is presented in this chapter, relying on different parallelization models, enclosing conjugate gradient and adaptive simulated annealing. Expand
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