Search Results - Dynamic multiple-objective linear programming

Technical and economic analysis of electricity generation from forest, fossil, and wood-waste fuels in a Finnish heating plant by Palander, Teijo

“…The Finnish energy industry is subject to policy decisions regarding renewable energy production and energy efficiency. Conventional electricity generation has…”
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A multiple objective goal programming approach to the truckload routing problem by Miori, V M

“… It is traditionally approached using single objective solution methodologies that range from linear programming to dynamic programming techniques…”
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Applying dynamic multiple-objective optimization in inter-enterprise collaboration to improve the efficiency of energy wood transportation and storage by Palander, Teijo

“…In Finland, VR Group (the state-owned railway company) provides third-party logistics services (3PLs) for industrial customers. Their current static,…”
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New ϵ−constraint methods for multi-objective integer linear programming: A Pareto front representation approach by Mesquita-Cunha, Mariana, Figueira, José Rui, Barbosa-Póvoa, Ana Paula

“…•Diverse multi-objective integer linear programming problems are studied.•The algorithms were efficient on an extensive set of tests…”
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Equivalence between polyhedral projection, multiple objective linear programming and vector linear programming by Lohne, Andreas, Weising, Benjamin

“… This problem, called polyhedral projection problem, is shown to be equivalent to multiple objective linear programming…”
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A new exact method for linear bilevel problems with multiple objective functions at the lower level by Alves, Maria João, Henggeler Antunes, Carlos

“… In this paper we consider linear bilevel programming problems with multiple objective functions at the lower level…”
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A multi-objective robust supply chain design considering reliability by Gholami, Faezeh, Paydar, Mohammad Mahdi, Hajiaghaei-Keshteli, Mostafa, Cheraghalipour, Armin

“… The model is a multi-objective mixed integer linear programming into which the uncertainty is incorporated by using the robust optimization…”
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Exploring Multiple-Objective Optimization for Efficient and Effective Test Paper Design with Dynamic Programming Guided Genetic Algorithm by Wang, Han, Zhuge, Qingfeng, Sha, Edwin Hsing-Mean, Xia, Jianghua, Xu, Rui

“… In this paper, the quality of tests is quantitatively defined while considering multiple objectives, including a flexible coverage of knowledge points, cognitive levels, and question difficulty…”
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Reducing wall-clock time for the computation of all efficient extreme points in multiple objective linear programming by Piercy, Craig A., Steuer, Ralph E.

“…•Exploits the objective function structure of a multiple objective linear program…”
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Multiple objective immune wolf colony algorithm for solving time-cost-quality trade-off problem by Liu, Guanyi, Li, Xuemei, Alam, Khalid Mehmood

“…The importance of the time-cost-quality trade-off problem in construction projects has been widely recognized. Its goal is to minimize time and cost and…”
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A bottom-up multi-objective optimisation approach to dynamic facility layout planning by Pérez-Gosende, Pablo, Mula, Josefa, Díaz-Madroñero, Manuel

“… In this context, the present paper presents a multi-objective mixed integer non-linear programming (MOMINLP…”
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Inverse DEA under inter-temporal dependence using multiple-objective programming by Jahanshahloo, G.R., Soleimani-damaneh, M., Ghobadi, S.

“… Necessary and sufficient conditions for input/output estimation are established utilizing Pareto and weak Pareto solutions of linear multiple-objective programming problems…”
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Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor by Cao, Leilei, Xu, Lihong, Goodman, Erik D., Bao, Chunteng, Zhu, Shuwei

“…Dynamic multiobjective optimization problems (DMOPs) challenge multiobjective evolutionary algorithms (MOEAs…”
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A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems by Chen, Qingda, Ding, Jinliang, Yang, Shengxiang, Chai, Tianyou

“…To promote research on dynamic constrained multiobjective optimization, we first propose a group of generic test problems with challenging characteristics, including different modes of the true Pareto front (e.g…”
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Warm-starting lower bound set computations for branch-and-bound algorithms for multi objective integer linear programs by Forget, Nicolas, Gadegaard, Sune Lauth, Nielsen, Lars Relund

“…•Reports extensive computational results. In this paper we propose a generic branch-and-bound algorithm for solving multi-objective integer linear programming problems…”
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Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution by Yu, Kunjie, Liang, Jing, Qu, Boyang, Luo, Yong, Yue, Caitong

“… In this article, we propose a dynamic selection preference-assisted constrained multiobjective differential evolutionary (DE) algorithm…”
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Benders decomposition for bi-objective linear programs by Raith, Andrea, Lusby, Richard, Sohrabi Yousefkhan, Ali Akbar

“…In this paper, we develop a new decomposition technique for solving bi-objective linear programming problems…”
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A multi-objective mixed integer linear programming model for thesis defence scheduling by Almeida, João, Santos, Daniel, Figueira, José Rui, Francisco, Alexandre P.

“…•Multi-objective mixed integer linear programming model for thesis defence scheduling…”
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A multiple objective mixed integer linear programming model for power generation expansion planning by Antunes, C.Henggeler, Martins, A.Gomes, Brito, Isabel Sofia

“… This paper presents a multiple objective mixed integer linear programming model for power generation expansion planning that allows the consideration of modular expansion capacity values of supply-side options…”
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A multi-objective mixed integer linear programming model for integrated electricity-gas network expansion planning considering the impact of photovoltaic generation by Yamchi, Hamid Bakhshi, Safari, Amin, Guerrero, Josep M.

“…This paper presents a new expansion planning model of integrated electricity and gas networks with the high penetration of renewable energy resources, using a multi-objective mixed integer linear programming approach…”
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