A survey of adaptive large neighborhood search algorithms and applications

STW Mara, R Norcahyo, P Jodiawan… - Computers & Operations …, 2022 - Elsevier
This article provides a survey on the highly popular metaheuristic framework, the adaptive
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …

Heuristics with novel approaches for cyclical multiple parallel machine scheduling in sugarcane unloading systems

C Kusoncum, K Sethanan, R Pitakaso… - International Journal of …, 2021 - Taylor & Francis
This paper focuses on a computational tool for scheduling sugarcane vehicles for dump
tippler machines operating at a sugar mill. This problem was defined as scheduling M …

Multiobjective stochastic scheduling of upstream operations in a sustainable sugarcane supply chain

MMM Chavez, W Sarache, Y Costa, J Soto - Journal of Cleaner Production, 2020 - Elsevier
A typical supply chain is composed of three main echelons: upstream, mid-stream and
downstream. In the case of sugarcane, the upstream echelon includes several activities …

Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search

R Turkeš, K Sörensen, LM Hvattum - European Journal of Operational …, 2021 - Elsevier
Research on metaheuristics has focused on (novel) algorithmic development and on
competitive testing, both of which have been frequently argued to yield little generalizable …

Hybrid differential evolution and particle swarm optimization for Multi-visit and Multi-period workforce scheduling and routing problems

V Punyakum, K Sethanan, K Nitisiri, R Pitakaso… - … and Electronics in …, 2022 - Elsevier
This research proposed an optimization method (Hybrid Differential Evolution and Particle
Swarm Optimization, HDEPSO) using a solution technique based on two well-known …

Combined response surface method and modified differential evolution for parameter optimization of friction stir welding

T Srichok, R Pitakaso, K Sethanan, W Sirirak… - Processes, 2020 - mdpi.com
In this study, we constructed a new algorithm to determine the optimal parameters for friction
stir welding including rotational speed, welding speed, axial force, tool pin profile, and tool …

Hybrid particle swarm optimization and neighborhood strategy search for scheduling machines and equipment and routing of tractors in sugarcane field preparation

K Worasan, K Sethanan, R Pitakaso, K Moonsri… - … and electronics in …, 2020 - Elsevier
This paper presents the Hybrid Particle Swarm Optimization and Neighborhood Strategy
Search (HPSO-NS) to solve a tractor scheduling and routing problem with equipment …

Hybrid PSO and ALNS algorithm for software and mobile application for transportation in ice manufacturing industry 3.5

R Pitakaso, K Sethanan, T Jamrus - Computers & Industrial Engineering, 2020 - Elsevier
This paper addresses the vehicle routing problem with consideration of vehicle capacities,
time windows, multiple products, fleet sizes, and fleet size limits on roads (VRPTWFS). The …

A two-step framework for dispatching shared agricultural machinery with time windows

YJ Wang, GQ Huang - Computers and Electronics in Agriculture, 2022 - Elsevier
Nowadays, farmers and even governments are faced with increasing yields with limited
resources, and the extensive use of agricultural machinery is one of the most efficient …

Developing an IoT-enabled cloud management platform for agricultural machinery equipped with automatic navigation systems

F Zhang, W Zhang, X Luo, Z Zhang, Y Lu, B Wang - Agriculture, 2022 - mdpi.com
Smart farming uses advanced tools and technologies such as intelligent agricultural
machines, high-precision sensors, navigation systems, and sophisticated computer systems …