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Towards efficient multiobjective optimization: multiobjective statistical criterions [PDF]
2012 IEEE Congress on Evolutionary Computation, 2012 The use of Surrogate Based Optimization (SBO) is widely spread in engineering design to reduce the number of computational expensive simulations. However, "real-world" problems often consist of multiple, conflicting objectives leading to a set of ...
Couckuyt, Ivo +2 more
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Real operational data for the concrete delivery problem
Data in Brief, 2023 The data article describes a real operational dataset for the Concrete Delivery Problem (CDP). The dataset consists of 263 instances corresponding to daily orders of concrete from construction sites in Quebec, Canada.
Alexandros Tzanetos, Maude Blondin
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Robust Efficiency Conditions in Multiple-Objective Fractional Variational Control Problems
Fractal and Fractional, 2022 The aim of this study is to investigate multi-dimensional vector variational problems considering data uncertainty in each of the objective functional and constraints.
Ritu +3 more
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Multiobjective Ant Lion Optimization for Performance Improvement of Modern Distribution Network
IEEE Access, 2022 Multiobjective ant lion optimization (MALO) is a technique developed to imitate ant foraging behavior. This method has many advantages, including straightforward, scalable, flexible, balanced, and fast response. The MALO technique consists of five stages:
Indah Soesanti, Ramadoni Syahputra
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Fuzzy Multicriteria Decision-Making: A Literature Review [PDF]
International Journal of Computational Intelligence Systems, 2015 Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one
Cengiz Kahraman +2 more
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IEEE Access, 2021 Resettlement site selection is a systematic project constrained by multiple geographic, social, and economic factors, and site selection in karst mountainous areas is even more complicated.
Rui Xu +4 more
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IEEE Access, 2021 Network traffic classification technology plays an important role in network security management. However, the inherent limitations of traditional methods have become increasingly obvious, and they cannot address existing traffic classification tasks ...
Xiaojuan Wang +6 more
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Multiobjective Deep Reinforcement Learning for Recommendation Systems
IEEE Access, 2022 Most existing recommendation systems (RSs) are primarily concerned about the accuracy of rating prediction and only recommending popular items. However, other non-accuracy metrics such as novelty and diversity should not be overlooked.
Ee Yeo Keat +6 more
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An Empirical Study of Cluster-Based MOEA/D Bare Bones PSO for Data Clustering †
Algorithms, 2021 Previously, cluster-based multi or many objective function techniques were proposed to reduce the Pareto set. Recently, researchers proposed such techniques to find better solutions in the objective space to solve engineering problems.
Daphne Teck Ching Lai, Yuji Sato
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Nondifferentiable Multiobjective Programming Problem under Strongly K-Gf-Pseudoinvexity Assumptions
Mathematics, 2020 In this paper we consider the introduction of the concept of (strongly) K- G f -pseudoinvex functions which enable to study a pair of nondifferentiable K-G- Mond-Weir type symmetric multiobjective programming model under such assumptions.
Ramu Dubey +3 more
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