A Novel Binary Ant Colony Optimization: Application to the Unit Commitment Problem of Power Systems

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Modified Ant Colony Optimization Technique for Solving Unit Commitment Problem

Ant colony optimization (ACO) which is inspired by the natural behavior of ants in finding the shortest path to food is appropriate for solving the combinatorial optimization problems. Therefore, it is used to solve the unit commitment problem (UCP) and attain the minimum cost for scheduling thermal units in order to produce the demand load. In this paper modified ACO (MACO) is used to solve th...

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Evolving ant colony optimization based unit commitment

Ant colony optimization (ACO) was inspired by the observation of natural behavior of real ants’ pheromone trail formation and foraging. Ant colony optimization ismore suitable for combinatorial optimization problems. ACO is successfully applied to the traveling salesman problem. Multistage decision making of ACO gives an edge over other conventional methods. This paper proposes evolving ant col...

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Unit Commitment by Evolving Ant Colony Optimization

Ant Colony Optimization is more suitable for combinatorial optimization problems. ACO is successfully applied to the traveling salesman problem, and multistage decision making of ACO has an edge over other conventional methods. In this paper, the authors propose the Evolving Ant Colony Optimization (EACO) method for solving unit commitment (UC) problem. The EACO employs Genetic Algorithm (GA) f...

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Discrete genetic algorithm and real ant colony optimization for the unit commitment problem

In this paper, a cooperative metaheuristic for the solution of the Unit Commitment problem is presented. This problem is known to be a large scale, mixed integer problem. Due to combinatorial complexity, the exact solution is often intractable. Thus, a metaheuristic based method has to be used to compute a near optimal solution with low computation times. A new approach is presented here. The m...

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ژورنال

عنوان ژورنال: Journal of Electrical Engineering and Technology

سال: 2011

ISSN: 1975-0102

DOI: 10.5370/jeet.2011.6.2.174