In this paper, we present a novel algorithm, the Limited-Memory Ant-Solver, that extends the state-of-the-art ACO algorithm for solving random, binary CSPs, the ...
In this paper, we present a novel algorithm, the Limited-Memory Ant-Solver, that extends the state-of-the-art ACO algorithm for solving random, binary. CSPs, ...
PDF | In this paper we describe a new incomplete approach for solving constraint satisfaction problems (CSPs) based on the ant colony optimization (ACO).
Aug 30, 2013 · Abstract—In this paper, we describe a new incomplete approach for solving constraint satisfaction problems (CSPs) based on the ant colony ...
Ants with Limited Memory for solving constraint satisfaction problems · Computer Science. 2013 IEEE Congress on Evolutionary Computation · 2013.
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ant's private memory ... This means that MMAS-CSP is actually solving a MAX-CSP problem ... as assignment, scheduling, subset, and constraint satisfaction problems.
Abstract. We describe in this paper Ant-P-solver, a generic con- straint solver based on the Ant Colony Optimization (ACO) meta- heuristic.
We describe an ant algorithm for solving constraint problems (Solnon 2002, IEEE Transactions on Evolutionary Computation 6(4): 347–357).
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems ...
[10] proposed an ant colony optimization algorithm (LMAS) that uses finite memory to preserve information concerning the optimal path. When ants explore a new ...