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GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
14 years 26 days ago
Biobjective evolutionary and heuristic algorithms for intersection of geometric graphs
Wire routing in a VLSI chip often requires minimization of wire-length as well as the number of intersections among multiple nets. Such an optimization problem is computationally ...
Rajeev Kumar, Pramod Kumar Singh, Bhargab B. Bhatt...
EMMCVPR
2001
Springer
14 years 1 months ago
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...
Endika Bengoetxea, Pedro Larrañaga, Isabell...
PATAT
2004
Springer
141views Education» more  PATAT 2004»
14 years 2 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...
TSMC
2010
13 years 3 months ago
Optimizing Discounted Cash Flows in Project Scheduling - An Ant Colony Optimization Approach
Abstract--The multimode resource-constrained projectscheduling problem with discounted cash flows (MRCPSPDCF) is important and challenging for project management. As the problem is...
Wei-neng Chen, Jun Zhang, Henry Shu-Hung Chung, Ru...
CEC
2008
IEEE
14 years 3 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...