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WICON
2008
14 years 11 months ago
On the practical complexity of solving the maximum weighted independent set problem for optimal scheduling in wireless networks
It is well known that the maximum weighted independent set (MWIS) problem is NP-complete. Moreover, optimal scheduling in wireless networks requires solving a MWIS problem. Conseq...
Peng Wang, Stephan Bohacek
WSC
2004
14 years 11 months ago
A Meta-Heuristic Based on Simulated Annealing for Solving Multiple-Objective Problems in Simulation Optimization
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization pr...
Eduardo Alberto Avello, Felipe F. Baesler, Reinald...
82
Voted
HAIS
2009
Springer
15 years 2 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
JCST
2008
134views more  JCST 2008»
14 years 9 months ago
Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional an...
Xiaomin Hu, Jun Zhang, Yun Li
63
Voted
ICTAI
2008
IEEE
15 years 3 months ago
Finding Good Starting Points for Solving Structured and Unstructured Nonlinear Constrained Optimization Problems
In this paper, we develop heuristics for finding good starting points when solving large-scale nonlinear constrained optimization problems (COPs). We focus on nonlinear programmi...
Soomin Lee, Benjamin W. Wah