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EMO
2001
Springer
107views Optimization» more  EMO 2001»
13 years 9 months ago
Reducing Local Optima in Single-Objective Problems by Multi-objectivization
One common characterization of how simple hill-climbing optimization methods can fail is that they become trapped in local optima - a state where no small modi cation of the curren...
Joshua D. Knowles, Richard A. Watson, David Corne
ICTAI
2010
IEEE
13 years 2 months ago
Metropolis Particle Swarm Optimization Algorithm with Mutation Operator for Global Optimization Problems
When a local optimal solution is reached with classical Particle Swarm Optimization (PSO), all particles in the swarm gather around it, and escaping from this local optima becomes...
Lhassane Idoumghar, M. Idrissi-Aouad, Mahmoud Melk...
JCST
2008
134views more  JCST 2008»
13 years 4 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
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 8 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
AIA
2007
13 years 6 months ago
Minimizing leakage: What if every gate could have its individual threshold voltage?
Designers aim at fast but low-power consuming integrated circuits. Since high processing speed always comes with high energy demands, the literature provides several ways to reduc...
Ralf Salomon, Frank Sill, Dirk Timmermann