Search Results - subject:"multi objective optimization"

Multi-objective particle swarm optimization of binary geothermal power plants

Clarke, Joshua; McLeskey, James T. - In: Applied Energy 138 (2015) C, pp. 302-314

power plant is developed. Additionally, a multi-objective optimization algorithm is developed to intelligently explore the …

Persistent link: https://www.econbiz.de/10011116163

Multi-objective microzone-based vehicle routing for courier companies: From tactical to operational planning

Janssens, Jochen; Van den Bergh, Joos; Sörensen, Kenneth; … - In: European Journal of Operational Research 242 (2015) 1, pp. 222-231

-based vehicle routing problem as a multi-objective optimization problem and develop a simple yet effective algorithm to solve it. We …

Persistent link: https://www.econbiz.de/10011117502

Modeling multiple humanitarian objectives in emergency response to large-scale disasters

Huang, Kai; Jiang, Yiping; Yuan, Yufei; Zhao, Lindu - In: Transportation Research Part E: Logistics and … 75 (2015) C, pp. 1-17

, delay cost and fairness. An integrated multi-objective optimization model that combines resource allocation with emergency …

Persistent link: https://www.econbiz.de/10011208987

Integrated optimization of hydroelectric energy in the upper and middle Yangtze River

Zhou, Jianzhong; Zhang, Yongchuan; Zhang, Rui; Ouyang, Shuo - In: Renewable and Sustainable Energy Reviews 45 (2015) C, pp. 481-512

hydrological modelling, flood routing optimization for power generation, flood control, ecological operations, multi-objective … optimization and multi-attribute risk decision-making, were introduced. Moreover, each of these techniques was described in detail …

Persistent link: https://www.econbiz.de/10011209052

A multi-objective interactive system for adaptive traffic control

Dujardin, Yann; Vanderpooten, Daniel; Boillot, Florence - In: European Journal of Operational Research 244 (2015) 2, pp. 601-610

In this paper, we consider the problem of adaptive traffic control on single junctions with the three following objectives to be minimized: the total waiting time and the number of stops for private vehicles, and a public transport criterion. This problem being modeled as a multi-objective mixed...

Persistent link: https://www.econbiz.de/10011209307

Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations

Binois, M.; Ginsbourger, D.; Roustant, O. - In: European Journal of Operational Research 243 (2015) 2, pp. 386-394

Multi-objective optimization algorithms aim at finding Pareto-optimal solutions. Recovering Pareto fronts or Pareto …-to-evaluate functions is to appeal to metamodels. Kriging has been shown efficient as a base for sequential multi-objective optimization … and quantifying how much uncertainty remains on it at any stage of Kriging-based multi-objective optimization algorithms …

Persistent link: https://www.econbiz.de/10011209338

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 …

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

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 for his/her preferred solutions to multi-objective problems. In most of the existing approaches the decision-maker preferences are formulated either by mathematical expressions...

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

Efficient optimization of many objectives by approximation-guided evolution

Wagner, Markus; Bringmann, Karl; Friedrich, Tobias; … - In: European Journal of Operational Research 243 (2015) 2, pp. 465-479

Multi-objective optimization problems arise frequently in applications, but can often only be solved approximately by … a framework for evolutionary multi-objective optimization that allows to work with a formal notion of approximation …

Persistent link: https://www.econbiz.de/10011209385

Anytime Pareto local search

Dubois-Lacoste, Jérémie; López-Ibáñez, Manuel; … - In: European Journal of Operational Research 243 (2015) 2, pp. 369-385

Pareto Local Search (PLS) is a simple and effective local search method for tackling multi-objective combinatorial optimization problems. It is also a crucial component of many state-of-the-art algorithms for such problems. However, PLS may be not very effective when terminated before...

Persistent link: https://www.econbiz.de/10011209410