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SAGA
2005
Springer
13 years 10 months ago
Two Metaheuristics for Multiobjective Stochastic Combinatorial Optimization
Two general-purpose metaheuristic algorithms for solving multiobjective stochastic combinatorial optimization problems are introduced: SP-ACO (based on the Ant Colony Optimization ...
Walter J. Gutjahr
PRICAI
2004
Springer
13 years 10 months ago
Constrained Ant Colony Optimization for Data Clustering
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known or is practicable. Such meta-heu...
Shu-Chuan Chu, John F. Roddick, Che-Jen Su, Jeng-S...
ALIFE
2002
13 years 5 months ago
Ant Colony Optimization and Stochastic Gradient Descent
In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
Nicolas Meuleau, Marco Dorigo
ARCS
2004
Springer
13 years 10 months ago
Ant Colony Optimization for dynamic Traveling Salesman Problems
: This paper addresses the optimization of a dynamic Traveling Salesman Problem using the Ant Colony Optimization algorithm. Ants are social insects with limited skills that live i...
Carlos A. Silva, Thomas A. Runkler
IPPS
2000
IEEE
13 years 9 months ago
Information Exchange in Multi Colony Ant Algorithms
Multi colony ant algorithms are evolutionary optimization heuristics that are well suited for parallel execution. Information exchange between the colonies is an important topic th...
Martin Middendorf, Frank Reischle, Hartmut Schmeck