منابع مشابه
Ant Colony System Optimization
Successful heuristic algorithms for solving combinatorial optimization problems have mimicked processes observed in nature. Two highly successful families of algorithms that do this are simulated annealing and genetic algorithms. Here, a third family of algorithms, ant colony optimization is explored and implemented in C#. The test bed for evaluating the quality of solutions is based on several...
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Since its introduction, ant colony optimization (ACO) algorithms and especially the MAX-MIN ant system (MMAS) [4] are found to be well suited for many challenging optimization problems. Our theoretical analyses of MMAS allowed us to create the new algorithm, named the three bound ant system (TBAS), which has lower computational complexity and at the same time retains and even improves the quali...
متن کاملAnt Colony Optimization
Swarm intelligence is a relatively novel approach to problem solving that takes inspiration from the social behaviors of insects and of other animals. In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful one is the ant colony optimization. Ant colony optimization (ACO) algorithm, a novel population-based and meta-heuristic app...
متن کاملEvolving Ant Colony Optimization
Ant Colony Optimization (ACO) is a promising new approach to combinatorial optimization. Here ACO is applied to the traveling salesman problem (TSP). Using a genetic algorithm (GA) to nd the best set of parameters, we demonstrate the good performance of ACO in nding good solutions
متن کاملAnt Colony Optimization Algorithm
Hybrid algorithm is proposed to solve combinatorial optimization problem by using Ant Colony and Genetic programming algorithms. Evolutionary process of Ant Colony Optimization algorithm adapts genetic operations to enhance ant movement towards solution state. The algorithm converges to the optimal final solution, by accumulating the most effective sub-solutions.
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ژورنال
عنوان ژورنال: The Journal of Object Technology
سال: 2009
ISSN: 1660-1769
DOI: 10.5381/jot.2009.8.6.c4