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CEC
2010
IEEE
15 years 29 days ago
A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems
Extremal optimisation (EO) is a relatively recent nature-inspired heuristic whose search method is especially suitable to solve combinatorial optimisation problems. To date, most o...
Pedro Gómez-Meneses, Marcus Randall, Andrew...
109
Voted
ISBI
2007
IEEE
15 years 9 months ago
A Posteriori Error Estimation in Biomedical Imaging
We present an adaptive hybrid FEM/FDM method for an inverse scattering problem in scanning acoustic microscopy with a special focus on new application in medical imaging. The prob...
Larisa Beilina
137
Voted
IJCNN
2006
IEEE
15 years 9 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
133
Voted
EVOW
2007
Springer
15 years 9 months ago
Tackling the Container Loading Problem: A Hybrid Approach Based on Integer Linear Programming and Genetic Algorithms
Abstract. This paper presents a novel hybrid approach for solving the Container Loading (CL) problem based on the combination of Integer Linear Programming (ILP) and Genetic Algori...
Napoleão Nepomuceno, Plácido Rog&eac...
137
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AI
2004
Springer
15 years 9 months ago
A Hybrid Schema for Systematic Local Search
Abstract. We present a new hybrid constraint solving schema which retains some systematicity of constructive search while incorporating the heuristic guidance and lack of commitmen...
William S. Havens, Bistra N. Dilkina