Search Results - "Multi-objective combinatorial optimization"

Constraint-based electoral districting using a new compactness measure: An application to Portugal by Almeida, Tiago, Manquinho, Vasco

“…Since the 1960s, several approaches have been proposed to prevent the redrawing of electoral districts so that they are beneficial to a particular party or…”
Get full text

Cost-aware generative design for urban ‘cool spots’: A random forest-principal component analysis-augmented combinatorial optimization approach by Peng, Ziyu, Lu, Weisheng, Hao, Tongping, Tang, Xu, Huang, Jianxiang, Webster, Chris

“…•A novel generative design approach is proposed for affordable urban cool spots.•Random Forest is deployed to accelerate simulating outdoor thermal…”
Get full text

Neuro-PLS: A Generalizable Local Search Framework for Multi-objective Combinatorial Optimization by Zhang, Haotian, Shi, Jialong, Sun, Jianyong, Zhang, Qingfu, Xu, Zongben

“…In this paper, we present a novel neural multi-objective combinatorial optimization framework with generalization ability across problems. The main idea is to…”
Get full text

Deep reinforcement learning for multi-objective combinatorial optimization: A case study on multi-objective traveling salesman problem by Li, Shicheng, Wang, Feng, He, Qi, Wang, Xujie

“…Multi-objective combinatorial optimization problems (MOCOPs) widely exist in real applications, and most of them are computationally difficult or NP-hard. How…”
Get full text

Branch-and-bound and objective branching with three or more objectives by Forget, Nicolas, Gadegaard, Sune Lauth, Klamroth, Kathrin, Nielsen, Lars Relund, Przybylski, Anthony

Get full text

Intelligent scheduling method for multi-machine cooperative operation based on NSGA-III and improved ant colony algorithm by Li, Shichao, Zhang, Man, Wang, Ning, Cao, Ruyue, Zhang, Zhenqian, Ji, Yuhan, Li, Han, Wang, Hao

“…•The command intelligent scheduling model of harvester and grain truck is established.•The global optimal scheduling problem is solved based on NSGA-III…”
Get full text

Grouping strategies on two-phase methods for bi-objective combinatorial optimization by Mota, Felipe O., Paquete, Luís, Vanderpooten, Daniel

“…Two-phase methods are commonly used to solve bi-objective combinatorial optimization problems. In the first phase, all extreme supported nondominated points…”
Get full text

Evolutionary multi-objective fishing routing with decision maker’s preferences by Granado, Igor, Szlapczynska, Joanna, Szlapczynski, Rafal, Hernando, Leticia, Fernandes-Salvador, Jose A.

“…This study aims to enhance economic and environmental sustainability of fisheries through fishing routing methods that can reduce operational costs, emission…”
Get full text

Multi-objective matroid optimization with ordinal weights by Klamroth, Kathrin, Stiglmayr, Michael, Sudhoff, Julia

“…Bi-objective optimization problems on matroids are in general intractable and their corresponding decision problems are in general NP-hard. However, if one of…”
Get full text

Multi-objective design optimization of hydride hydrogen storage reactor structured with finned helical tubes based on energetic and economic analyses by Aadhithiyan, A.K., Bhargav, K.V.J., Sreeraj, R., Anbarasu, S.

“…Hydride-based systems are a potential alternative to hydrogen storage technologies due to their simple structure and ambient operating conditions. The…”
Get full text

An exact solution approach for multi-objective location–transportation problem for disaster response by Abounacer, Rachida, Rekik, Monia, Renaud, Jacques

“…This paper considers a three-objective location–transportation problem for disaster response. The location problem aims at determining the number, the position…”
Get full text

Min cost improvement and max gain stability in multicriteria sorting methods on combinatorial domains by Benabbou, Nawal, Martin, Hugo, Perny, Patrice

“…Various multicriteria sorting methods have been proposed in the literature to assign the feasible alternatives into predefined categories. We consider here…”
Get full text

Multi-objective combinatorial optimization analysis of the recycling of retired new energy electric vehicle power batteries in a sustainable dynamic reverse logistics network by Mu, Nengye, Wang, Yuanshun, Chen, Zhen-Song, Xin, Peiyuan, Deveci, Muhammet, Pedrycz, Witold

“…The recycling of retired new energy vehicle power batteries produces economic benefits and promotes the sustainable development of environment and society…”
Get full text

Trainingless multi-objective evolutionary computing-based nonintrusive load monitoring: Part of smart-home energy management for demand-side management by Lin, Yu-Hsiu

“…Electricity is the most widely used form of energy in modern society. One method of satisfying the continuously increasing industrial, commercial, and…”
Get full text

A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D by de Moraes, Matheus Bernardelli, Coelho, Guilherme Palermo

“…Expensive multi-objective combinatorial optimization problems have constraints in the number of objective function evaluations due to time, financial, or…”
Get full text

Multi-objective optimization for sensor placement: An integrated combinatorial approach with reduced order model and Gaussian process by Xu, Zhaoyi, Guo, Yanjie, Homer Saleh, Joseph

“…•We devise a multi-objective optimization (MOO) for sensor placement.•Our MOO integrates reduced order model and lazy greedy combinatorial approach.•We develop…”
Get full text

Multi-Objective Heterogeneous Fleet Vehicle Routing Problem: Formulation and Algorithm by Ba, Yunpeng, Zheng, Ruihao, Wang, Zhenkun, Li, Genghui

“…The Heterogeneous Fleet Vehicle Routing Problem (HFVRP) aims to find optimal routes for vehicles with different capacities and costs, and is common in…”
Get full text

Allocation of coal de-capacity quota among provinces in China: A bi-level multi-objective combinatorial optimization approach by Wang, Delu, Liu, Yifei, Wang, Yadong, Shi, Xunpeng, Song, Xuefeng

“…Coal de-capacity, or capacity cut, is an important part of China's energy transition. Formulating a quota allocation scheme for coal de-capacity is the key to…”
Get full text

Modelling beneficiaries’ choice in disaster relief logistics by Burkart, Christian, Nolz, Pamela C., Gutjahr, Walter J.

“…This paper introduces the element of beneficiaries’ choice into a location-routing problem for disaster relief logistics suited for decision support systems…”
Get full text

On Supportedness in Multi‐Objective Integer Linear Programming by Könen, David, Stiglmayr, Michael

“…This paper addresses an inconsistency in various definitions of supported non‐dominated points within multi‐objective integer linear optimization problems…”
Get full text