A simulated annealing-based recommender system for solving the tourist trip design problem

T Tlili, S Krichen - Expert Systems with Applications, 2021 - Elsevier
Tourism recommender system (TRS) experienced high growth over the last decades given
its significant role in tourist satisfaction. Tourists are usually worried about planning their …

A reinforcement learning approach to the orienteering problem with time windows

R Gama, HL Fernandes - Computers & Operations Research, 2021 - Elsevier
Abstract The Orienteering Problem with Time Windows (OPTW) is a combinatorial
optimization problem where the goal is to maximize the total score collected from different …

Prize-collecting Electric Vehicle routing model for parcel delivery problem

N Moradi, NM Boroujeni - Expert Systems with Applications, 2025 - Elsevier
Electric Vehicle (EV)-based parcel delivery is getting much more popular these days due to
EVs being eco-friendly and sustainable. One well-known problem in the literature to study …

An evolution strategy approach for the distributed permutation flowshop scheduling problem with sequence-dependent setup times

K Karabulut, H Öztop, D Kizilay, MF Tasgetiren… - Computers & Operations …, 2022 - Elsevier
This paper considers a distributed permutation flowshop scheduling problem with sequence-
dependent setup times (DPFSP-SDST) to minimize the maximum completion time among …

An evolution strategy approach for the distributed blocking flowshop scheduling problem

K Karabulut, D Kizilay, MF Tasgetiren, L Gao… - Computers & Industrial …, 2022 - Elsevier
Scheduling in distributed production environments has become common in recent years
since the advantages of multi factory manufacturing have been growing. This paper …

Modeling and optimization of multiple traveling salesmen problems: An evolution strategy approach

K Karabulut, H Öztop, L Kandiller… - Computers & Operations …, 2021 - Elsevier
The multiple traveling salesmen problems (mTSP) are variants of the well-known traveling
salesmen problems, in which n cities are to be assigned to m salespeople. In this paper, we …

A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems

B Khurshid, S Maqsood, Y Khurshid, K Naeem… - Scientific Reports, 2024 - nature.com
This study investigates the no-wait flow shop scheduling problem and proposes a hybrid
(HES-IG) algorithm that utilizes makespan as the objective function. To address the …

Novel hybrid algorithm for Team Orienteering Problem with Time Windows for rescue applications

S Saeedvand, HS Aghdasi, J Baltes - Applied Soft Computing, 2020 - Elsevier
Robots for rescue operations after a disaster are an interesting and challenging research
problem that has the potential to save lives and reduce economic losses after a disaster. We …

A hybrid evolution strategies-simulated annealing algorithm for job shop scheduling problems

B Khurshid, S Maqsood - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Job shop scheduling problems (JSSPs) are intractable combinatorial optimization problems
and have been solved by numerous researchers over the last couple of decades, however …

A two-stage stochastic programming model for collaborative asset protection routing problem enhanced with machine learning: a learning-based matheuristic …

E Nikzad, M Bashiri - International Journal of Production Research, 2023 - Taylor & Francis
In this paper, a two-stage stochastic mathematical model is developed for an asset
protection routing problem under a wildfire. The main aim of this study is to reduce the …