Now showing items 1-10 of 860
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are ...
Using traditional heuristic algorithms on an initial genetic algorithm population applied to the transmission expansion planning problem
(Univ Nac Colombia, Fac Ingenieria, 2011-04-01)
This paper analyses the impact of choosing good initial populations for genetic algorithms regarding convergence speed and final solution quality. Test problems were taken from complex electricity distribution network ...
Multiobjective short-term planning of electric power distribution systems using NSGA-II
This paper presents a mixed integer nonlinear programming multiobjective model for short-term planning of distribution networks that considers in an integrated manner the following planning activities: allocation of capacitor ...
Transmission system expansion planning by an extended genetic algorithm
(Institute of Electrical and Electronics Engineers (IEEE), 1998-05-01)
The paper presents an extended genetic algorithm for solving the optimal transmission network expansion planning problem. Two main improvements have been introduced in the genetic algorithm: (a) initial population obtained ...
Adaptive Hybrid Genetic Algorithm for Technical Loss Reduction in Distribution Networks Under Variable Demands
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2009)
Reconfiguration of Radial Distribution Systems with Variable Demands Using the Clonal Selection Algorithm and the Specialized Genetic Algorithm of Chu–Beasley
This paper presents two new approaches to solve the reconfiguration problem of electrical distribution systems (EDSs) with variable demands, using the CLONALG and the SGACB algorithms. The CLONALG is a combinatorial ...
Using genetic algorithm to design protein sequence
(Elsevier B.V., 2008-06-15)
In this work, genetic algorithms concepts along with a rotamer library for proteins side chains are used to optimize the tertiary structure of the hydrophobic core of Cytochrome b(562) starting from the known PDB structure ...
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
(Pergamon-Elsevier B.V. Ltd, 2011-05-01)
The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand ...
Global optimization using a genetic algorithm with hierarchically structured population
(Elsevier Science BvAmsterdamHolanda, 2014)