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GPEM
2002
163views more  GPEM 2002»
13 years 7 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
DATE
2010
IEEE
136views Hardware» more  DATE 2010»
14 years 17 days ago
Reversible logic synthesis through ant colony optimization
Abstract—We propose a novel synthesis technique for reversible logic based on ant colony optimization (ACO). In our ACO-based approach, reversible logic synthesis is formulated a...
Min Li, Yexin Zheng, Michael S. Hsiao, Chao Huang
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 1 months ago
Self-adaptive ant colony optimisation applied to function allocation in vehicle networks
Modern vehicles possess an increasing number of software and hardware components that are integrated in electronic control units (ECUs). Finding an optimal allocation for all comp...
Manuel Förster, Bettina Bickel, Bernd Hardung...
JUCS
2008
159views more  JUCS 2008»
13 years 7 months ago
Two Step Swarm Intelligence to Solve the Feature Selection Problem
: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. The basic idea is to split the heuristic search performed by agents into two sta...
Yudel Gómez, Rafael Bello, Amilkar Puris, M...
COR
2007
80views more  COR 2007»
13 years 7 months ago
A MAX-MIN ant system for unconstrained multi-level lot-sizing problems
In this paper we present an ant-based algorithm for solving unconstrained multi-level lot-sizing problems called ant system for multi-level lot-sizing algorithm (ASMLLS). We apply...
Rapeepan Pitakaso, Christian Almeder, Karl F. Doer...