Search Results - subject:"Genetic algorithm"

Multiple objective step function maximization with genetic algorithms and simulated annealing

Grohall, Günther; Jung, Jürgen - 2003

We develop a hybrid algorithm using Genetic Algorithms (GA) and Simulated Annealing (SA) to solve multi-objective step function maximization problems. We then apply the algorithm to a specific economic problem which is taken out of the corporate governance literature. -- numerical computation ;...

Persistent link: https://www.econbiz.de/10009726800

Multiple objective step function maximization with genetic algorithms and simulated annealing

Grohall, Guenther - 2003

Persistent link: https://www.econbiz.de/10001921425

EVOLUTIONARY ALGORITHM PARAMETER FITNESS: AN EXPLORATORY STUDY

Manikas, Andrew; Godfrey, Michael - In: International Journal of Management and Marketing Research 4 (2011) 3, pp. 35-44

-hard problem â€“ any algorithm to optimize this problem has an exponential time. We explore which parameters for a genetic … algorithm allow it to solve these job shop problems in limited time trials. Prior literature assumes the use of these parameters …

Persistent link: https://www.econbiz.de/10011205585

A fast algorithm based on the submodular property for optimization of wind turbine positioning

Changshui, Zhang; Guangdong, Hou; Jun, Wang - In: Renewable Energy 36 (2011) 11, pp. 2951-2958

In the design of a wind farm, the placement of turbines is an important factor that affects the efficiency and profit, but automatic placement of turbines is still a challenging problem.

Persistent link: https://www.econbiz.de/10010804085

Genetic algorithms for ceiling form optimization in response to daylight levels

Rakha, Tarek; Nassar, Khaled - In: Renewable Energy 36 (2011) 9, pp. 2348-2356

to maximize daylight uniformity ratios. A genetic algorithm was developed and coded in LUA, a versatile scripting …

Persistent link: https://www.econbiz.de/10010807232

Wind characterization analysis incorporating genetic algorithm: A case study in Taiwan Strait

Liu, Feng-Jiao; Chen, Pai-Hsun; Kuo, Shyi-Shiun; Su, … - In: Energy 36 (2011) 5, pp. 2611-2619

In this paper, the genetic algorithm (GA) is originally applied to compute the Weibull parameters for wind …

Persistent link: https://www.econbiz.de/10010808029

A novel evolutionary algorithm for dynamic economic dispatch with energy saving and emission reduction in power system integrated wind power

Liao, Gwo-Ching - In: Energy 36 (2011) 2, pp. 1018-1029

using the Chaotic Quantum Genetic Algorithm (CQGA). In addition to the detailed models of economic dispatch introduction and … their associated constraints, the wind power effect is also included in this paper. The chaotic quantum genetic algorithm …

Persistent link: https://www.econbiz.de/10010808127

Economic optimization of shell and tube heat exchanger based on constructal theory

Azad, Abazar Vahdat; Amidpour, Majid - In: Energy 36 (2011) 2, pp. 1087-1096

pressure loss are minimized in this method. Genetic algorithm is used to optimize the objective function which is a …

Persistent link: https://www.econbiz.de/10010808315

Heat exchanger networks retrofit with considering pressure drop by coupling genetic algorithm with LP (linear programming) and ILP (integer linear programming) methods

Soltani, Hadi; Shafiei, Sirous - In: Energy 36 (2011) 5, pp. 2381-2391

This research is trying to develop a new procedure for retrofit of HENs including pressure drop using genetic algorithm …

Persistent link: https://www.econbiz.de/10010808866

Operation method study based on the energy balance of an independent microgrid using solar-powered water electrolyzer and an electric heat pump

Obara, Shin’ya; Watanabe, Seizi; Rengarajan, Balaji - In: Energy 36 (2011) 8, pp. 5200-5213

distributed system with two or more sets of equipment and a central system with one set of equipment were analyzed by a genetic … algorithm. By introducing the prior energy need pattern of a cold region into the proposed system, the operation method and …

Persistent link: https://www.econbiz.de/10010809687