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ACMDIS
2010
ACM
13 years 7 months ago
LumiBots: making emergence graspable in a swarm of robots
Emergence is a concept that is not easy to grasp, since it contradicts our idea of central control and planning. In this work, we use a swarm of robots as a tangible tool to visua...
Mey Lean Kronemann, Verena Vanessa Hafner
ANTSW
2008
Springer
13 years 8 months ago
Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search
Abstract. Ant colony optimization (ACO) is a metaheuristic that produces good results for a wide range of combinatorial optimization problems. Often such successful applications us...
Frank Neumann, Dirk Sudholt, Carsten Witt
CAS
2008
68views more  CAS 2008»
13 years 7 months ago
Very Strongly Constrained Problems: an Ant Colony Optimization Approach
: Ant Colony Optimization (ACO) is a class of metaheuristic algorithms sharing the common approach of constructing a solution on the basis of information provided both by a standar...
Vittorio Maniezzo, Matteo Roffilli
IMCSIT
2010
13 years 5 months ago
ACO with semi-random start applied on MKP
Ant Colony Optimization (ACO) is a stochastic search method that mimics the social behavior of real ants colonies, which manage to establish the shortest route to feeding sources a...
Stefka Fidanova, Pencho Marinov, Krassimir T. Atan...
CEC
2008
IEEE
14 years 1 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