Search Results - subject:"Multi objective optimization"

Sustainable cast iron supply chain network design : robust multi-objective optimization with scenario reduction via genetic algorithm

Fathollahzadeh, Kasra; Saeedi, Mehran; Anaraki, Matin … - In: International journal of production economics 289 (2025), pp. 1-20

Persistent link: https://www.econbiz.de/10015604281

Energy savings and coverage optimization in edge WiFi sensor deployment for buildings : a multi-objective evolutionary approach

Benatia, Mohamed Amin; Ben Abdelaziz, Fouad; Sahnoun, … - In: Energy economics 141 (2025), pp. 1-21

Persistent link: https://www.econbiz.de/10015549449

Dynamic demand-responsive transit scheduling with time-dependent travel times : a joint supply and demand management approach

Wu, Weitiao; Zhang, Zeyue; Lu, Kai; Ren, Jingxuan - In: Transportation research : an international journal 202 (2025), pp. 1-31

Persistent link: https://www.econbiz.de/10015451762

Optimum predictive modelling for a sustainable power supply mix : a case of the Nigerian power system

Ibrahim, Hanif Auwal; Ayomoh, Michael Kweneojo - In: Energy strategy reviews 44 (2022), pp. 1-14

must meet various objectives, many of which conflict with one another. Using multi-objective optimization, a model for …

Persistent link: https://www.econbiz.de/10014515619

Multi-objective optimization of environmental tax for mitigating air pollution and greenhouse gas

Li, Sijing; Jia, Ning; Chen, Zhenni; Du, Huibin; Zhang, … - In: Journal of management science and engineering 7 (2022) 3, pp. 473-488

taxation scheme to realize the multi-objective optimization of the economy and environment. Meanwhile, this study compares the …

Persistent link: https://www.econbiz.de/10014315605

Application of MOMSA algorithm for optimal operation of Karun multi objective multi reservoir dams with the aim of increasing the energy generation

Sharifi, Mohammad Reza; Akbarifard, Saeid; Madadi, … - In: Energy strategy reviews 42 (2022), pp. 1-13

Multi-reservoir system operation is a challenging and complex task, because of the curse of uncertainties, nonlinearities, dimensionalities and conflicts among the various contradictory objectives. Contemporaneous optimization of such competing objectives needs improving the capability of...

Persistent link: https://www.econbiz.de/10014512478

Optimization of subsurface models with multiple criteria using Lexicase Selection

He, Yifan; Aranha, Claus; Hallam, Antony; Chassagne, Romain - In: Operations Research Perspectives 9 (2022), pp. 1-10

Seismic History Matching (SHM) is a key problem in the geosciences community, requiring optimal parameters of a subsurface model that match the observed data from multiple in-situ measurements. Therefore, the SHM problems are usually solved with Multi-Objective Evolutionary Algorithms (MOEAs)....

Persistent link: https://www.econbiz.de/10015455472

Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms

Liu, Feng; Fang, Kan; Tang, Jiafu; Yin, Yong - In: Journal of management science and engineering 7 (2022) 1, pp. 48-66

Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the Japanese pronunciation for cell), and has been widely implemented in hundreds of Japanese and other Asia companies. In particular, the rotating seru has been widely implemented,...

Persistent link: https://www.econbiz.de/10013207391

Approximating the Pareto frontier for a challenging real-world bi-objective covering problem

Quttineh, Nils-Hassan; Ngulo, Uledi; Larsson, Torbjörn - In: INFOR : information systems and operational research 60 (2022) 3, pp. 342-358

Persistent link: https://www.econbiz.de/10013410729

Multi-objective optimization information fusion and its applications for logistics centers maximum coverage

Deng, Xiao Ya - In: International journal of information systems and supply … 15 (2022) 2, pp. 1-12

Persistent link: https://www.econbiz.de/10014299274