A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems

E Kaya, B Gorkemli, B Akay, D Karaboga - Engineering Applications of …, 2022 - Elsevier
The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

Set Covering Routing Problems: A review and classification scheme

N Moradi, F Mafakheri, C Wang - Computers & Industrial Engineering, 2024 - Elsevier
Cyclic routing problems are a well-researched category of combinatorial problems in
Operations Research (OR). They involve finding an optimal cycle (route), starting from an …

Deep reinforcement learning for combinatorial optimization: Covering salesman problems

K Li, T Zhang, R Wang, Y Wang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
This article introduces a new deep learning approach to approximately solve the covering
salesman problem (CSP). In this approach, given the city locations of a CSP as input, a deep …

Last mile delivery routing problem using autonomous electric vehicles

N Moradi, İ Sadati, B Çatay - Computers & Industrial Engineering, 2023 - Elsevier
This paper presents a study on the application of Autonomous Delivery Vehicles (ADVs) in
last-mile delivery for urban logistics. Specifically, we focus on a routing problem using multi …

[HTML][HTML] A two-stage stochastic model for a multi-objective blood platelet supply chain network design problem incorporating frozen platelets

TY Suen, X Song, D Jones - Computers & Industrial Engineering, 2023 - Elsevier
Platelet supply chain (PLT SC) management is always a challenging task for healthcare
systems due to the nature of platelets (PLTs). PLTs have an extremely short shelf life and …

A cerebellar operant conditioning-inspired constraint satisfaction approach for product design concept generation

M Li, S Lou, Y Gao, H Zheng, B Hu… - International Journal of …, 2023 - Taylor & Francis
Conceptual design is a pivotal stage of new product development. The function-behaviour-
structure framework is adopted in this stage to help designers search design space and …

Metaheuristics for the permutation flowshop problem with a weighted quadratic tardiness objective

AF Silva, JMS Valente, JE Schaller - Computers & Operations Research, 2022 - Elsevier
In this paper, we consider a permutation flowshop problem, with a weighted squared
tardiness objective function, which addresses an important criterion for many customers. Our …

A highly effective hybrid evolutionary algorithm for the covering salesman problem

Y Lu, U Benlic, Q Wu - Information Sciences, 2021 - Elsevier
Covering salesman problem (CSP) is an extension of the popular traveling salesman
problem (TSP) arising from a number of real-life applications. Given a set of vertices and a …

Investigation of meta-heuristics algorithms in ANN streamflow forecasting

Y Wei, H Hashim, KL Chong, YF Huang… - KSCE Journal of Civil …, 2023 - Springer
The deterministic approach, which utilizes the gradient information in the search process, is
prone to trapping at local minima, primarily due to the presence of saddle points and local …

A multi-objective covering salesman problem with 2-coverage

SP Tripathy, A Biswas, T Pal - Applied Soft Computing, 2021 - Elsevier
In a wide range of contexts including military operations, environment monitoring,
surveillance in border areas, health care, public safety [1, 2], disaster management …