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Winner determination algorithms for combinatorial auctions with sub-cardinality constraints

Garcia, Christopher - In: Computational economics 47 (2016) 3, pp. 401-421

Persistent link: https://www.econbiz.de/10011712406

Optimization of network planning by the novel hybrid algorithms of intelligent optimization techniques

Sadegheih, A. - In: Energy 34 (2009) 10, pp. 1539-1551

genetic algorithm, simulated annealing and tabu search for the defined optimization tasks; to develop a hybrid optimization …This paper proposes a new hybrid algorithm Meta-heuristic for the problem of network planning systems. The main goal of … this paper is, to develop an efficient optimization tool which will minimise the cost functions of the stated optimization …

Persistent link: https://www.econbiz.de/10010807868

A hybrid simulated annealing approach to handle energy resource management considering an intensive use of electric vehicles

Sousa, Tiago; Vale, Zita; Carvalho, Joao Paulo; Pinto, Tiago - In: Energy 67 (2014) C, pp. 81-96

which requires a quick solution for the next day. Therefore, it is necessary to use adequate optimization techniques to …

Persistent link: https://www.econbiz.de/10010808906

A hybrid computational approach to estimate solar global radiation: An empirical evidence from Iran

Mostafavi, Elham Sadat; Ramiyani, Sara Saeidi; Sarvar, Rahim - In: Energy 49 (2013) C, pp. 204-210

This paper presents an innovative hybrid approach for the estimation of the solar global radiation. New prediction equations were developed for the global radiation using an integrated search method of genetic programming (GP) and simulated annealing (SA), called GP/SA. The solar radiation was...

Persistent link: https://www.econbiz.de/10010811719

An innovative approach for demand side management—optimal chiller loading by simulated annealing

Chang, Yung-Chung - In: Energy 31 (2006) 12, pp. 1883-1896

This investigation attempts to solve the optimal chiller loading (OCL) problem by utilizing simulated annealing (SA). SA eliminates the limitation that the Lagrangian method cannot solve OCL because the kW-PLR curves simultaneously include convex functions and non-convex functions. This study...

Persistent link: https://www.econbiz.de/10011053329

Reactive energy scheduling using bi-objective programming with modified particle swarm optimization

Kuo, Cheng-Chien - In: Energy 34 (2009) 6, pp. 804-815

Interactive Bi-objective with Valuable Trade-off programming, together with a modified particle swarm optimization for …

Persistent link: https://www.econbiz.de/10011054105

Maximum likelihood estimation methods for Copula models

Zhang, Jinyu; Gao, Kang; Li, Yong; Zhang, Qiaosen - In: Computational economics 60 (2022) 1, pp. 99-124

Persistent link: https://www.econbiz.de/10013262501

A general method for the optimum design of heat recovery steam generators

Franco, Alessandro; Giannini, Nicola - In: Energy 31 (2006) 15, pp. 3342-3361

The optimization of the heat recovery steam generator (HRSG) is one of the key elements for increasing the efficiency …

Persistent link: https://www.econbiz.de/10010807260

Energy saving methods for the separation of a minimum boiling point azeotrope using an intermediate entrainer

Modla, G. - In: Energy 50 (2013) C, pp. 103-109

Algorithm to determine the main design and operation parameters of the dividing-wall column. The optimization algorithm is …

Persistent link: https://www.econbiz.de/10010807268

Energy use efficiency in greenhouse tomato production in Iran

Pahlavan, Reza; Omid, Mahmoud; Akram, Asadollah - In: Energy 36 (2011) 12, pp. 6714-6719

Efficient use of energy in agriculture is one of the conditions for sustainable production. In the present study energy use pattern for tomato production in Iran was investigated and a non-parametric data envelopment analysis (DEA) technique was applied to analyze the technical and scale...

Persistent link: https://www.econbiz.de/10010807290

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