Results 91 to 100 of about 1,136 (193)
Dynamic economic and environmental load dispatch (DEED) aims to determine the amount of electricity generated from power plants during the planning period to meet load demand while minimizing energy consumption costs and environmental pollution emission ...
Le Yang, Dakuo He, Bo Li
doaj +1 more source
NeuRoute: Predictive Dynamic Routing for Software-Defined Networks
This paper introduces NeuRoute, a dynamic routing framework for Software Defined Networks (SDN) entirely based on machine learning, specifically, Neural Networks.
Azzouni, Abdelhadi +2 more
core +2 more sources
Hyper-Heuristic Approach for Tuning Parameter Adaptation in Differential Evolution
Differential evolution (DE) is one of the most promising black-box numerical optimization methods. However, DE algorithms suffer from the problem of control parameter settings.
Vladimir Stanovov +2 more
doaj +1 more source
An Ant Colony based Hyper-Heuristic Approach for the Set Covering Problem
The Set Covering Problem (SCP) is a NP-hard combinatorial optimization problem that is challenging for meta-heuristic algorithms. In the optimization literature, several approaches using meta-heuristics have been developed to tackle the SCP and the ...
Alexandre Silvestre FERREIRA +2 more
doaj +1 more source
A Column Generation Based Hyper-Heuristic to the Bus Driver Scheduling Problem
Public transit providers are facing continuous pressure to improve service quality and reduce operating costs. Bus driver scheduling is among the most studied problems in this area.
Hong Li, Ying Wang, Shi Li, Sujian Li
doaj +1 more source
Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems [PDF]
This paper studies Knowledge Discovery (KD) using Tabu Search and Hill Climbing within Case-Based Reasoning (CBR) as a hyper-heuristic method for course timetabling problems.
Petrovic, Sanja, Qu, Rong
core
Infection Aware Hyper-Heuristic Framework for Hospital Room–Patient Matching
The assignment of hospital rooms to patients is a critical operational decision that has a direct impact on patient safety, infection control, and staff workload.
Kassem Danach +2 more
doaj +1 more source
Optimizing Shared-memory Hyperheuristics on Top of Parameterized Metaheuristics
AbstractThis paper studies the auto-tuning of shared-memory hyperheuristics developed on top of a unified shared-memory metaheuristic scheme. A theoretical model of the execution time of the unified scheme is empirically adapted for particular metaheuristics and hyperheuristics through experimentation.
José-Matías Cutillas-Lozano +1 more
openaire +1 more source
Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems [PDF]
This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems.
Burke, Edmund +3 more
core +1 more source
Hiperheurística diseñada para un problema de localización y transporte público [PDF]
Se propone aquí el empleo de una hiperheurística para resolver un problema de localización y transporte. El trabajo presenta una clasificación en el campo de las hiperheurísticas, se establecen claramente los beneficios que proporcionan y se exponen las ...
Brignole, Nelida Beatriz +2 more
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