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57
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ECAL
2005
Springer
15 years 3 months ago
Evolutionary Transitions as a Metaphor for Evolutionary Optimisation
Abstract. This paper proposes a computational model for solving optimisation problems that mimics the principle of evolutionary transitions in individual complexity. More specific...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert
CEC
2010
IEEE
14 years 10 months ago
The differential Ant-Stigmergy Algorithm for large-scale global optimization
— Ant-colony optimization (ACO) is a popular swarm intelligence metaheuristic scheme that can be applied to almost any optimization problem. In this paper, we address a performan...
Peter Korosec, Katerina Taskova, Jurij Silc
SGAI
2007
Springer
15 years 3 months ago
Escaping Local Optima: Constraint Weights vs. Value Penalties
Constraint Satisfaction Problems can be solved using either iterative improvement or constructive search approaches. Iterative improvement techniques converge quicker than the cons...
Muhammed Basharu, Inés Arana, Hatem Ahriz
66
Voted
AAAI
1997
14 years 11 months ago
Using CSP Look-Back Techniques to Solve Real-World SAT Instances
We report on the performance of an enhanced version of the “Davis-Putnam” (DP) proof procedure for propositional satisfiability (SAT) on large instances derived from realworld...
Roberto J. Bayardo Jr., Robert Schrag
IJCNN
2006
IEEE
15 years 3 months ago
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
Shengxiang Yang