Search Results - subject:"Algorithms"

Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data

Hassan-Esfahani, Leila; Torres-Rua, Alfonso; McKee, Mac - In: Agricultural Water Management 153 (2015) C, pp. 42-50

optimization sub-module use genetic algorithms (GA) to identify optimal crop water application rates based on the crop type …

Persistent link: https://www.econbiz.de/10011208824

Genetic algorithms for condition-based maintenance optimization under uncertainty

Compare, M.; Martini, F.; Zio, E. - In: European Journal of Operational Research 244 (2015) 2, pp. 611-623

This paper proposes and compares different techniques for maintenance optimization based on Genetic Algorithms (GAs …

Persistent link: https://www.econbiz.de/10011209317

Refined ranking relations for selection of solutions in multi objective metaheuristics

Moritz, Ruby L.V.; Reich, Enrico; Schwarz, Maik; Bernt, … - In: European Journal of Operational Research 243 (2015) 2, pp. 454-464

Two methods for ranking of solutions of multi objective optimization problems are proposed in this paper. The methods can be used, e.g. by metaheuristics to select good solutions from a set of non dominated solutions. They are suitable for population based metaheuristics to limit the size of the...

Persistent link: https://www.econbiz.de/10011209348

Preference-inspired co-evolutionary algorithms using weight vectors

Wang, Rui; Purshouse, Robin C.; Fleming, Peter J. - In: European Journal of Operational Research 243 (2015) 2, pp. 423-441

Decomposition based algorithms perform well when a suitable set of weights are provided; however determining a good set … decomposition based algorithms that use random, evenly distributed and adaptive weights on a set of problems encompassing the range … objectives. Experimental results show that PICEA-w outperforms the comparison algorithms for most of the problems and is less …

Persistent link: https://www.econbiz.de/10011209353

GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models

Mlakar, Miha; Petelin, Dejan; Tušar, Tea; Filipič, Bogdan - In: European Journal of Operational Research 243 (2015) 2, pp. 347-361

This paper proposes a novel surrogate-model-based multiobjective evolutionary algorithm called Differential Evolution for Multiobjective Optimization based on Gaussian Process models (GP-DEMO). The algorithm is based on the newly defined relations for comparing solutions under uncertainty. These...

Persistent link: https://www.econbiz.de/10011209354

The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique

Wang, Rui; Purshouse, Robin C.; Giagkiozis, Ioannis; … - In: European Journal of Operational Research 243 (2015) 2, pp. 442-453

Various preference-based multi-objective evolutionary algorithms have been developed to help a decision-maker search …

Persistent link: https://www.econbiz.de/10011209367

Multi-objectivization, fitness landscape transformation and search performance: A case of study on the hp model for protein structure prediction

Garza-Fabre, Mario; Toscano-Pulido, Gregorio; … - In: European Journal of Operational Research 243 (2015) 2, pp. 405-422

problem, has significantly increased the performance of search algorithms. The present study goes further on this topic. With …

Persistent link: https://www.econbiz.de/10011209407

Hybrid optimization algorithm for thermal analysis in a solar parabolic trough collector based on nanofluid

Mohammad Zadeh, P.; Sokhansefat, T.; Kasaeian, A.B.; … - In: Energy 82 (2015) C, pp. 857-864

In recent years, many research works focused on improving and reducing the cost of solar collectors. This paper focuses upon the development of an efficient modeling and optimization of solar collector. The approach adopted in modeling utilizes a parabolic trough collector absorber tube with...

Persistent link: https://www.econbiz.de/10011209542

Optimal electricity dispatch on isolated mini-grids using a demand response strategy for thermal storage backup with genetic algorithms

Neves, Diana; Silva, Carlos A. - In: Energy 82 (2015) C, pp. 436-445

The present study uses the DHW (domestic hot water) electric backup from solar thermal systems to optimize the total electricity dispatch of an isolated mini-grid. The proposed approach estimates the hourly DHW load, and proposes and simulates different DR (demand response) strategies, from the...

Persistent link: https://www.econbiz.de/10011209575

Approximate Nash equilibria in anonymous games

Daskalakis, Constantinos; Papadimitriou, Christos H. - In: Journal of Economic Theory 156 (2015) C, pp. 207-245

We study from an algorithmic viewpoint anonymous games[22,4,5,19]. In these games a large population of players shares the same strategy set and, while players may have different payoff functions, the payoff of each depends on her own choice of strategy and the number of the other players...

Persistent link: https://www.econbiz.de/10011189757