This paper presents an effective and efficient method for speeding up ant colony optimization (ACO) in solving the codebook generation problem. The proposed method is inspired by the fact that many computations during the convergence process of ant-based algorithms are essentially redundant and thus ...
Ant Colony Optimization:An overview Ant colony optimization is a metaheuristic approach belonging to the model based search algorithm. It is a paradigm for designing metaheuristic algorithm for combinatorial problem. In this paper we discuss the Ant colony system. Ant colo... Sonika,P Mittal 被引...
In this paper, we present the swarm intelligence (SI) concept and mention some metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) algorithm and the ant colony optimization (ACO) method as the representatives of the SI approach. In recent years, researchers are ...
Optimization of laminate stacking sequence for maximum buckling load using the ant colony optimization (ACO) metaheuristic The paper illustrates the application of the ant colony optimization (ACO) metaheuristic to the lay-up design of laminated panels for maximization of buckl... F Aymerich,M Serra...
Patel M., Kubde B., "A survey paper on Ant Colony Optimization Routing algorithm for selecting Multiple Feasible Paths for Packet Switched Networks", International Journal of Computer Science Issues, Vol.9, Issue 2, No.3, March 2012.
摘要原文 Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic solution construction procedures that build candidate solutions for the problem instance under concern by exploiting...
Ant colony system (ACS) algorithm is better method to solve TSP. This paper presents HACS-LS, a hybrid ant colony optimization approach combined with an improvement local search algorithm, applied to traveling salesman problem. The improvement local search algorithm couples heap sort algorithm with ...
In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy system with the fuzzy reasoning ability and 3-Opt algorithm with local search ability, namely PF3SACO is proposed to ...
Originality/value ‐ This paper introduces a new problem (SDDLBP) and an efficient solution to the literature. 展开 关键词: Theoretical or Mathematical/ ant colony optimisation assembling computational complexity cost reduction recycling/ ant colony optimization sequence-dependent disassembly line balancing...
the problem of feature selection has been investigated by many researchers. In this paper, a novel feature subset search procedure that utilizes the Ant Colony Optimization (ACO) is presented. The ACO is a metaheuristic inspired by the behavior of real ants in their search for the shortest paths...