Search Results - subject:"genetic algorithms"

Genetic algorithms and non-intrusive energy management system based economic dispatch for cogeneration units

Chang, Hsueh-Hsien - In: Energy 36 (2011) 1, pp. 181-190

and a new method that is based on genetic algorithms (GA) can effectively manage energy demand in an optimal economic … proposed approach, which is based on genetic algorithms. Moreover, the use of the proposed GA-based method for economic …

Persistent link: https://www.econbiz.de/10010807442

Simulation and Multi-Objective Management of Coastal Aquifers in Semi-Arid Regions

Kourakos, George; Mantoglou, Aristotelis - In: Water Resources Management 25 (2011) 4, pp. 1063-1074

Groundwater is the main water resource in many semi-arid coastal regions and water demand, especially in summer months, can be very high. Groundwater withdrawal for meeting this demand often causes seawater intrusion and degradation of water quality of coastal aquifers. In order to satisfy...

Persistent link: https://www.econbiz.de/10010794782

An evolutionary algorithm for the estimation of threshold vector error correction models

El-Shagi, Makram - In: International Economics and Economic Policy 8 (2011) 4, pp. 341-362

Persistent link: https://www.econbiz.de/10010864999

The influence of the legal and economical environment and the profile of activities on the optimal design features of a natural-gas-fired combined heat and power plant

Kotowicz, Janusz; Bartela, Łukasz - In: Energy 36 (2011) 1, pp. 328-338

The paper deals with the effect of some selected quantities occurring in the legal and economical environment on the optimal values of some selected design quantities of a natural-gas-fired CHP plant. This trend of investigations results from the newly observed legal changes in the legislation...

Persistent link: https://www.econbiz.de/10011055049

Optimization of the size of a solar thermal electricity plant by means of genetic algorithms

Cabello, J.M.; Cejudo, J.M.; Luque, M.; Ruiz, F.; Deb, K.; … - In: Renewable Energy 36 (2011) 11, pp. 3146-3153

not possible and genetic algorithms have been used. An important feature of the model is that the minimum level of the …

Persistent link: https://www.econbiz.de/10011043938

Event Processing and Variable Part of Sample Period Determining in Combined Systems Using GA

Maximilián, Strémy; Pavol, Závacký; Martin, Jedlička - In: Research Papers Faculty of Materials Science and … 19 (2011) 30, pp. 99-104

systems using genetic algorithms. …

Persistent link: https://www.econbiz.de/10011008366

Genetic Algorithms for Solving Scheduling Problems in Manufacturing Systems

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

. Therefore, many researchers have proposed methods with genetic algorithms to support scheduling in the manufacturing system. The … genetic algorithms for the advanced scheduling. In addition, the author proposes a new approach to the distributed scheduling …

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

Application of a Genetic Algorithm for the Optimization of a Complex Reservoir System in Tunisia

Louati, Mohamed; Benabdallah, Sihem; Lebdi, Fethi; … - In: Water Resources Management 25 (2011) 10, pp. 2387-2404

A genetic algorithm (GA) model is developed and used for optimizing the allocation of water resources within a complex multiple reservoir system located in Tunisia. The GA model considers two objectives: the water allocation to demand centers and the salinity level of the water supply to end...

Persistent link: https://www.econbiz.de/10010998063

Event Processing and Variable Part of Sample Period Determining in Combined Systems Using GA

StrÃ©my MaximiliÃ¡n; ZÃ¡vackÃ½ Pavol; Martin, … - In: Research Papers Faculty of Materials Science and … 19 (2011) 30, pp. 99-104

systems using genetic algorithms. …

Persistent link: https://www.econbiz.de/10010534207

Identifying the Pareto-front approximation for negotiations of BOT contracts with a multi-objective genetic algorithm

Liou, Fen-may; Yang, Chien-hui; Chen, Boarliang; Chen, … - In: Construction Management and Economics 29 (2011) 5, pp. 535-548

The build-operate-transfer (BOT) project is formulated based upon cooperative partnerships among various public and private parties. Win-win negotiation solutions are especially essential for parties that usually have conflicts of interests. A simulation-based multi-objective genetic algorithm...

Persistent link: https://www.econbiz.de/10009194447