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This paper presents a novel meta-heuristic algorithm, dynamic particle swarm optimizer with escaping prey (DPSOEP), for solving constrained non-convex and piecewise optimization problems. In DPSOEP, the particles developed from two different species are classified into three different types, consisting of preys, strong particles and weak particles, to simulate the behavior of hunting and escaping...
This paper aims to solve an economic dispatch problem concerning wind power using a Bacterial Swarm Algorithm (BSA). The massive installation of the wind turbines in power system presents a challenge for the conventional economic dispatch. With increasing wind power penetration, the ramp capability of wind farms correlates with the uncertain wind speed rather than a fix ratio as conventional generators...
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