Results 31 to 40 of about 237,312 (198)
A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems
, 2010 This study presents a new approach based on a hybrid algorithm consisting of Genetic Algorithm (GA), Pattern Search (PS) and Sequential Quadratic Programming (SQP) techniques to solve the well-known power system Economic dispatch problem (ED).
Al-Othman, A. K. +2 more
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GA/SA-based hybrid techniques for the scheduling of generator maintenance in power systems [PDF]
, 2000 YesProposes the application of a genetic algorithm (GA) and simulated annealing (SA) based hybrid approach for the scheduling of generator maintenance in power systems using an integer representation.
Burt, G.M. +3 more
core +1 more source
Improved Genetic Algorithm for Web Service Composition QoS Optimization [PDF]
Jisuanji gongcheng, 2017 An improved Genetic Algorithm(GA) for Web service composition Quality of Service(QoS) optimization is brought up by combining Simulated Annealing(SA) algorithm and traditional GA.In order to keep the diversity of the population,the thought of choosing ...
OUYANG Chao,CHEN Zhibo,SUN Guodong
doaj +1 more source
Genetic learning particle swarm optimization [PDF]
, 2016 Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness.
Chung, Henry Shu-Hung +6 more
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Genetic algorithms for auto-tuning mobile robot motion control [PDF]
, 2002 This paper discusses a genetic algorithm (GA) based method for automatically tuning mobile robot motion controllers. The genetic algorithm evolves a controller that is optimised for a given performance measure. Genetic algorithms require a mapping from
Messom, Chris
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A GA-based technique for the scheduling of storage tanks [PDF]
, 1999 YesThis paper proposes the application of a genetic algorithm based methodology for the scheduling of storage tanks. The proposed approach is an integration of GA and heuristic rule-based techniques, which decomposes the complex mixed integer ...
Aldridge, C.J. +3 more
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PENYELESAIAN MULTI TRAVELING SALESMAN PROBLEM DENGAN ALGORITMA GENETIKA
E-Jurnal Matematika, 2017 Genetic algorithm is a part of heuristic algorithm which can be applied to solve various computational problems. This work is directed to study the performance of the genetic algorithm (GA) to solve Multi Traveling Salesmen Problem (multi-TSP).
NI KADEK MAYULIANA +2 more
doaj +1 more source
OPTIMIZING GAS STATION LOCATION USING GENETIC ALGORITHMS
Bentang : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil, 2013 Gas station location is not only based on financial but also environment aspects because it will give negative impact if there are some accidents such as fire, tank leakage, etc. Helping customer in supplying fuels should not sacrifice other needs such as health, food, education, living circumstance, and so on.
Rahmadya Trias Handayanto +2 more
openaire +1 more source
Discover Artificial IntelligenceWith the high-speed development of the automobile industry, the number of domestic vehicles has increased significantly, which has posed a great challenge to the efficiency of road access.
Qun Wang
doaj +1 more source
A new genetic algorithm for multi-label correlation-based feature selection. [PDF]
, 2015 This paper proposes a new Genetic Algorithm for Multi-Label Correlation-Based Feature Selection (GA-ML-CFS). This GA performs a global search in the space of candidate feature subset, in order to select a high-quality feature subset is used by a multi ...
Freitas, Alex A., Jungjit, Suwimol
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