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A Review on the Ant Colony Optimization Metaheuristic: Basis, Models and New Trends
- Mathware & Soft Computing
, 2002
"... Ant Colony Optimization (ACO) is a recent metaheuristic method that is inspired by the behavior of real ant colonies. In this paper, we review the underlying ideas of this approach that lead from the biological inspiration to the ACO metaheuristic, which gives a set of rules of how to apply ACO ..."
Abstract
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Cited by 31 (2 self)
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Ant Colony Optimization (ACO) is a recent metaheuristic method that is inspired by the behavior of real ant colonies. In this paper, we review the underlying ideas of this approach that lead from the biological inspiration to the ACO metaheuristic, which gives a set of rules of how to apply ACO algorithms to challenging combinatorial problems. We present some of the algorithms that were developed under this framework, give an overview of current applications, and analyze the relationship between ACO and some of the best known metaheuristics. In addition, we describe recent theoretical developments in the eld and we conclude by showing several new trends and new research directions in this eld.
Topology Optimization of Structures Using Ant Colony Optimization
"... A modified ACO algorithm that derives from specific definition of pheromone and cooperation mechanism between ants was applied for solving topology optimization problem of structure. Mesh topology of finite element model for structure was treated as possible paths for ant’s movement. A tour on mesh ..."
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A modified ACO algorithm that derives from specific definition of pheromone and cooperation mechanism between ants was applied for solving topology optimization problem of structure. Mesh topology of finite element model for structure was treated as possible paths for ant’s movement. A tour on mesh topology map for seeking food finished by ant is transformed into a structure and the finite element method was applied to analyze the structure for calculating pheromone deposited on the path. The amount of accumulated pheromone deposited on every element by different ants was used to find optimum structural design. From the results studied in this paper, the purposed ACO algorithm provides as alternate optimization method that has high potential in finding the best design for topology optimization of structure successfully and efficiently.
PARALLELIZATION STRATEGY FOR ANT COLONY OPTIMIZATION METAHEURISTIC
"... Ant Colony Optimization (ACO) is a metaheuristic for complex combinatorial optimization problems. Recent research in ACO algorithms has strongly focused on improving the performance of ACO algorithms. This paper presents the possibility of speeding up the algorithm by using parallel processing and p ..."
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Ant Colony Optimization (ACO) is a metaheuristic for complex combinatorial optimization problems. Recent research in ACO algorithms has strongly focused on improving the performance of ACO algorithms. This paper presents the possibility of speeding up the algorithm by using parallel processing and presents a parallelization strategy for ACO metaheuristic.
