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This paper aims at investigating the performance of a Particle Swarm Optimization (PSO) algorithm combined with Lagrange Relaxation (LR) method, called LR-PSO, so as to solve a profit-based Unit Commitment (UC) problem. For the proposed LR-PSO method, PSO is applied to update the Lagrange multipliers and is also incorporated into the LR method to improve its performance. In addition, the proposed...
Aiming at enhancing the diversity of the traditional particle swarm optimization (PSO) algorithm, this paper proposes a method of combining the conventional PSO algorithm with Gaussian mutation (GM) operator to enhance the global search capability and investigate the performance of the proposed hybrid PSO-GM algorithm, while solving the economic dispatch (ED) problem considering non-smooth cost functions...
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