Search Results - subject:"genetic algorithm"

Genetic Algorithms for Solving Scheduling Problems in Manufacturing Systems

Anna, Ławrynowicz - In: Foundations of Management 3 (2011) 2, pp. 7-26

genetic algorithm belongs to the category of artificial intelligence. It is a very effective algorithm to search for optimal … in industrial clusters which uses a modified genetic algorithm. …

Persistent link: https://www.econbiz.de/10011009066

Optimization of Multireservoir Systems by Genetic Algorithm

Hınçal, Onur; Altan-Sakarya, A.; Ger, A. Metin - In: Water Resources Management 25 (2011) 5, pp. 1465-1487

water resources planning and management. As an optimization Genetic Algorithm, ruled by evolution techniques, have become …. The results obtained were compared to the real operational data and genetic algorithm was found to be effective and can be … popular in diversified fields of science. The main aim of this study is to explore the efficiency and effectiveness of genetic …

Persistent link: https://www.econbiz.de/10010997518

Predicting Mean and Bankfull Discharge from Channel Cross-Sectional Area by Expert and Regression Methods

Tayfur, Gokmen; Singh, Vijay - In: Water Resources Management 25 (2011) 5, pp. 1253-1267

genetic algorithm (GA)-based nonlinear equation—for predicting mean discharge and bank-full discharge from cross …

Persistent link: https://www.econbiz.de/10010997674

Evolutionary Testing of Hydraulic Simulator Functionality

Gorev, Nikolai; Kodzhespirova, Inna; Kovalenko, Yuriy; … - In: Water Resources Management 25 (2011) 8, pp. 1935-1947

A method for automatic functional testing of hydraulic simulators is proposed. The method is based on using genetic algorithms to search for network parameter values at which the simulator under test computes solutions that do not satisfy the governing network equations. The search is made by...

Persistent link: https://www.econbiz.de/10010997741

OPTIMAL DESIGN OF A MULTI-STATE WEIGHTED SERIES-PARALLEL SYSTEM USING PHYSICAL PROGRAMMING AND GENETIC ALGORITHMS

LI, WEI; ZUO, MING J.; MOGHADDASS, RAMIN - In: Asia-Pacific Journal of Operational Research (APJOR) 28 (2011) 04, pp. 543-562

reliability while minimizing investment system cost simultaneously. Genetic algorithm is used to solve the proposed physical …

Persistent link: https://www.econbiz.de/10009194099

In search of momentum profits: are they illusory?

Pavlova, Ivelina; Parhizgari, A. M. - In: Applied Financial Economics 21 (2011) 21, pp. 1617-1639

We test whether a Genetic Algorithm (GA) can find profitable investment strategies based on prior stock returns and …

Persistent link: https://www.econbiz.de/10009278659

Optimization design of slotted fin by numerical simulation coupled with genetic algorithm

Wang, Yu; He, Ya-Ling; Mei, Dan-Hua; Tao, Wen-Quan - In: Applied Energy 88 (2011) 12, pp. 4441-4450

Using a novel method that couples genetic algorithm (GA) with numerical simulation, the geometric configuration for a …

Persistent link: https://www.econbiz.de/10010571905

A new memetic algorithm approach for the price based unit commitment problem

Dimitroulas, Dionisios K.; Georgilakis, Pavlos S. - In: Applied Energy 88 (2011) 12, pp. 4687-4699

Unit commitment (UC) is a very important optimization task, which plays a major role in the daily operation planning of electric power systems that is why UC is a core research topic attracting a lot of research efforts. An innovative method based on an advanced memetic algorithm (MA) for the...

Persistent link: https://www.econbiz.de/10010571988

Sensitivity analysis of optimal model on building cooling heating and power system

Wang, Jiangjiang; Zhai, Zhiqiang; Jing, Youyin; Zhang, Xutao - In: Applied Energy 88 (2011) 12, pp. 5143-5152

The optimization of building cooling heating and power (BCHP) system is helpful to improve its comprehensive performance including energetic, economic and environmental aspects. However, the optimal results are closely dependent on the initial setting parameters. This paper deduces the energy...

Persistent link: https://www.econbiz.de/10010572092

Markov modelling and parameterisation of genetic evolutionary test generations

Cheng, Adriel; Lim, Cheng-Chew - In: Journal of Global Optimization 51 (2011) 4, pp. 743-751

Persistent link: https://www.econbiz.de/10009399900