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This article presents an efficient optimization approach to solve constrained Economic Load Dispatch (ELD) problem using a ‘Lbest-Particle Swarm Optimization with Dynamically Varying Sub-swarms’ (LPSO-DVS). The proposed method is found to give optimal results while working with constraints in the ELD, arising due to practical limitations like dynamic operation constraints (ramp rate limits) and prohibited...
Dynamic economic dispatch (DED) is one of the major planning problem in a power system. It is a non-linear optimization problem with various operational constraints, which includes the constraints of the generators operating characteristics and the system constraints. Its principal aim is to minimize the cost of power production of all the participating generators over a time horizon of 24 h, while...
This article presents a novel optimization technique hybridizing the concepts of Genetic Algorithm (GA) and Lbest Particle Swarm Optimization (Lbest PSO). A new topology, namely ‘Dynamically Varying Sub-swarm’ has been incorporated in the search process and some selected crossover and mutation techniques have been used for generation updating. This novel hybridized approach simultaneously ensures...
The paper presents an elegant approach for designing linear phase low pass digital FIR filter using swarm and evolutionary algorithms. Classical gradient based approaches are not efficient enough for accurate design and thus evolutionary approach is considered to be a better choice. In this paper a hybrid of Genetic Algorithm and Particle Swarm Optimization algorithm with varying neighbourhood topology,...
The present work provides a new approach to evolve ligand structures which represent possible drug to be docked to the active site of the target protein. The structure is represented as a tree where each non-empty node represents a functional group. It is assumed that the active site configuration of the target protein is known with position of the essential residues. In this paper the interaction...
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