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TEC
2002
163views more  TEC 2002»
14 years 9 months ago
Ants can solve constraint satisfaction problems
In this paper, we describe a new incomplete approach for solving constraint satisfaction problems (CSPs) based on the ant colony optimization (ACO) metaheuristic. The idea is to us...
Christine Solnon
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 7 months ago
Parallel shared memory strategies for ant-based optimization algorithms
This paper describes a general scheme to convert sequential ant-based algorithms into parallel shared memory algorithms. The scheme is applied to an ant-based algorithm for the ma...
Thang Nguyen Bui, ThanhVu H. Nguyen, Joseph R. Riz...
GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
15 years 1 months ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom
AE
2009
Springer
14 years 10 months ago
Memetic Algorithms for Constructing Binary Covering Arrays of Strength Three
Abstract. This paper presents a new Memetic Algorithm (MA) designed to compute near-optimal solutions for the covering array construction problem. It incorporates several distingui...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez
EPS
1998
Springer
15 years 1 months ago
Evolutionary Algorithms for Vertex Cover
This paper reports work investigating various evolutionary approaches to vertex cover (VC), a well-known NP-Hard optimization problem. Central to each of the algorithms is a novel ...
Isaac K. Evans