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» Iterative Methods in Combinatorial Optimization
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CEC
2008
IEEE
15 years 9 months ago
DEACO: Hybrid Ant Colony Optimization with Differential Evolution
—Ant Colony Optimization (ACO) algorithm is a novel meta-heuristic algorithm for the approximate solution of combinatorial optimization problems that has been inspired by the for...
Xiangyin Zhang, Haibin Duan, Jiqiang Jin
142
Voted
ICCAD
1999
IEEE
153views Hardware» more  ICCAD 1999»
15 years 7 months ago
Cycle time and slack optimization for VLSI-chips
We consider the problem of finding an optimal clock schedule, i.e. optimal arrival times for clock signals at latches of a VLSI chip. We describe a general model which includes al...
Christoph Albrecht, Bernhard Korte, Jürgen Sc...
IJCSA
2007
130views more  IJCSA 2007»
15 years 2 months ago
Binary Particle Swarm Optimization Based Defensive Islanding Of Large Scale Power Systems
Power system defensive islanding is an efficient way to avoid catastrophic wide area blackouts, such as the 2003 North American Blackout. Finding defensive islands of large-scale ...
Wenxin Liu, Li Liu, David A. Cartes, Ganesh K. Ven...
139
Voted
GPEM
2002
163views more  GPEM 2002»
15 years 2 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf
DAGSTUHL
2007
15 years 4 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys