... bridges the gap between high-dimensional engineering optimization and robust multi-criteria decision-making in complex structural systems. © Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Multi-objective optimization Multi-criteria decision-making...

...Vishnu Pratap Singh; Anjali Sharma; Kirti Sharma; Ali Ebrahimnejad; Debjani Chakraborty Purpose This study addresses the challenge of solving real-world multi-objective optimization problems under uncertainty, where data is often vague or incomplete. Existing fuzzy models, such as intuitionistic...

.... The main motivation is to develop a multi-objective optimization approach that enhances energy efficiency and lighting performance simultaneously. Design/methodology/approach A custom MATLAB-based optimization model was developed to analyze stadium lighting performance. Experiments were conducted...

.... The mining cut clustering problem has been little addressed in the literature, and the solutions used are almost always heuristic. We solve the mining cut clustering problem, which is NP-hard, through single- and multi-objective optimization, finding results that are local optima in acceptable computational...

... the limitations of bi-objective optimization, multi-objective optimization has been developed and significantly advanced over the past decades (Ozcan-Deniz et al., 2012 ; Wang et al., 2019 ; Banihashemi and Khalilzadeh, 2020 ; Mahdiraji et al., 2021 ; Alindayu et al., 2022...

...Shuai Deng; Xin Cheng; Huachun Wu; Yefa Hu Purpose The multi-objective optimization configuration strategy is proposed due to the configuration of EMAs in fault-tolerant control of active magnetic bearing with redundant electromagnetic actuators involving high-dimensional, nonlinear, conflicting...

..., it is of major importance to plan task allocation considering fair balancing among the robots while satisfying service time windows. Task allocation Motion planning Vehicle routing problem Multi-robots Fuzzy time windows Multi-objective optimization Pareto solutions The last decades, multi...

...Matheus Francisco; João Pereira; Lucas Oliveira; Sebastião Simões Cunha, Jr; G.F. Gomes Purpose The present paper aims at the multi-objective optimization of a reentrant hexagonal cell auxetic structure. In addition, a parametric analysis will be carried out to verify how each of the design...

... of this paper is organized as follows: a comprehensive literature survey is presented in Section 2 . The problem description and the proposed mathematical model formulation are given in Section 3 . Application procedures of the CCP method and the multi-objective optimization (MOO) approaches are presented...

...Fran Sérgio Lobato; Gustavo Barbosa Libotte; Gustavo Mendes Platt Purpose In this work, the multi-objective optimization shuffled complex evolution is proposed. The algorithm is based on the extension of shuffled complex evolution, by incorporating two classical operators into the original...

... Publishing Limited Licensed re-use rights only Parallel Robotic assembly line balancing Multi-objective optimization Energy consumption Discrete firefly algorithm Energy is one of the main resources of the manufacturing industry, and in recent years, businesses have given more importance...

... is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity. Vietnam National...

... Limited Licensed re-use rights only Multi-objective optimization Pareto optimality Constrained engineering design problems Multilayer dielectric filter Optimum design Symbiotic organisms search algorithm Optimization, which has an important role in designing, dimensioning...

... using conventional methods driven by population-based metaheuristics algorithms. To the authors knowledge, this is the first work that summarizes segmentation-based approaches to multi-objective optimization of microwave and antenna components. Adrian Bekasiewicz is the corresponding author and can...

...Anand Amrit; Leifur Leifsson Purpose The purpose of this work is to apply and compare surrogate-assisted and multi-fidelity, multi-objective optimization (MOO) algorithms to simulation-based aerodynamic design exploration. Design/methodology/approach The three algorithms for multi-objective...

...-Wheel, the details of which are shown in Table I . Finite element analysis Multi-objective optimization Life Non-pneumatic wheel National Natural Science Foundation of China 11672127 Major Exploration Project of the General Armaments Department of China NP2018403 Fundamental...

... optimization process. © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Ping Jiang can be contacted at: jiangping@hust.edu.cn 12 10 2016 23 06 2017 06 07 2017 30 07 2017 Multi-objective optimization Sequential sampling Robust...

... full play to the capacity of equipment. Originality/value A CBRTS hybrid algorithm is presented. The strong dependence of the TS algorithm on the initial solution has been solved. The rolling schedule multi-objective optimization functions are established. The proposed algorithm is applied...

.../approach A deterministic algorithm for cost-efficient multi-objective optimization of antenna structures has been assessed. The algorithm constructs a patch connecting extreme Pareto-optimal designs (obtained by means of separate single-objective optimization runs). Its performance (both cost- and quality...

... to a few dozen of high-fidelity EM simulations of the respective structures. Multi-objective optimization for the considered class of structures can be realized using deterministic approaches without defaulting to evolutionary methods. Research limitations/implications The present study can...