Results 61 to 70 of about 1,136 (193)
IET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.This systematic analysis aims to offer a unique point to researchers and facilitates this process by allowing researchers to benchmark and compare various techniques, evaluate their effectiveness and establish best practices. It provides evidence‐based insights into optimal strategies for implementation while addressing potential trade‐offs in ...
Kai Hung Tang +4 more
wiley +1 more source
A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem [PDF]
, 2015 Hyper-heuristics are high-level methodologies for solving complex problems that operate on a search space of heuristics. In a selection hyper-heuristic framework, a heuristic is chosen from an existing set of low-level heuristics and applied to the ...
Battiti R. +25 more
core +6 more sources
Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 20, Page 3103-3124, 15 October 2024.Abstract U‐shaped automated container terminals (ACTs) represent a strategic design in port infrastructure that facilitates simultaneous loading and unloading operations. This paper addresses the challenges of scheduling multiple types of equipment, such as dual trolley quay cranes (DTQCs), automated guided vehicles (AGVs), double cantilever rail ...
Xiang Zhang +3 more
wiley +1 more source
IEEE Open Journal of Intelligent Transportation SystemsEfficient logistics management is critical in the modern global supply chain, and this study introduces an advanced hyperheuristic approach to the Multi-Echelon Hub and Routing Optimization (MEHRO) problem.
Kassem Danach +3 more
doaj +1 more source
Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature
Applied Sciences, 2022 Hyper-heuristics have arisen as methods that increase the generality of existing solvers. They have proven helpful for dealing with complex problems, particularly those related to combinatorial optimization.
Anna Karen Gárate-Escamilla +4 more
doaj +1 more source
Tolerable Constructive Graph-Based Hyper-Heuristic Algorithm For Examination Timetabling [PDF]
, 2009 Examination Timetabling Problem (ETTP) is an NP-hard typical optimization problem faced by institutions and universities across the world. This nature leads to heuristic methods cover a large branch of researches in this area.
Mohammad Pour, Shahrzad
core
IET Collaborative Intelligent Manufacturing, Volume 6, Issue 3, September 2024.The authors introduce the distributed parallel assembly permutation flow shop scheduling problem, aiming to enhance collaborative production efficiency among multiple factories in a networked environment. A mathematical model is established and an improved hybrid distribution estimation algorithm is proposed to minimise the makespan.
Lizhen Du +4 more
wiley +1 more source
A multi-arm bandit neighbourhood search for routing and scheduling problems [PDF]
, 2016 Local search based meta-heuristics such as variable neighbourhood search have achieved remarkable success in solving complex combinatorial problems.
Chen, Yujie +3 more
core
An analysis of the Taguchi method for tuning a memetic algorithm with reduced computational time budget [PDF]
, 2016 Determining the best initial parameter values for an algorithm, called parameter tuning, is crucial to obtaining better algorithm performance; however, it is often a time-consuming task and needs to be performed under a restricted computational budget ...
A Kheiri +12 more
core +1 more source
International Transactions on Electrical Energy Systems, Volume 2024, Issue 1, 2024.The output of photovoltaic (PV) systems is significantly impacted by the vagaries of ambient temperature, solar irradiance, and environmental fluctuations. To achieve the utmost attainable power from PV systems, it is desired to be efficient at the maximum power point in diverse weather climates.
Debabrata Mazumdar +6 more
wiley +1 more source