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A survey of hybrid metaheuristics for the resource-constrained project scheduling problem
R Pellerin, N Perrier, F Berthaut - European Journal of Operational …, 2020 - Elsevier
Abstract The Resource-Constrained Project Scheduling Problem (RCPSP) is a general
problem in scheduling that has a wide variety of applications in manufacturing, production …
problem in scheduling that has a wide variety of applications in manufacturing, production …
Partial recharge strategies for the electric vehicle routing problem with time windows
Abstract The Electric Vehicle Routing Problem with Time Windows (EVRPTW) is an
extension to the well-known Vehicle Routing Problem with Time Windows (VRPTW) where …
extension to the well-known Vehicle Routing Problem with Time Windows (VRPTW) where …
Large neighborhood search
In the last 15 years, heuristics based on large neighborhood search (LNS) and the variant
adaptive large neighborhood search (ALNS) have become some of the most successful …
adaptive large neighborhood search (ALNS) have become some of the most successful …
Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search
Research on metaheuristics has focused on (novel) algorithmic development and on
competitive testing, both of which have been frequently argued to yield little generalizable …
competitive testing, both of which have been frequently argued to yield little generalizable …
An adaptive large neighborhood search for an e-grocery delivery routing problem
Online shop** has become ever more indispensable to many people with busy schedules
who have a growing need for services ranging for a wide variety of goods, which include …
who have a growing need for services ranging for a wide variety of goods, which include …
Adaptive large neighborhood search for the curriculum-based course timetabling problem
In curriculum-based course timetabling, lectures have to be assigned to periods and rooms,
while avoiding overlaps between courses of the same curriculum. Taking into account the …
while avoiding overlaps between courses of the same curriculum. Taking into account the …
A hybrid adaptive large neighborhood search heuristic for lot-sizing with setup times
This paper presents a hybrid of a general heuristic framework and a general purpose mixed-
integer programming (MIP) solver. The framework is based on local search and an adaptive …
integer programming (MIP) solver. The framework is based on local search and an adaptive …
An adaptive large neighbourhood search heuristic for routing and scheduling feeder vessels in multi-terminal ports
This paper proposes an Adaptive Large Neighbourhood Search heuristic for solving the Port
Scheduling Problem, the problem of scheduling feeder vessels' operations in multi-terminal …
Scheduling Problem, the problem of scheduling feeder vessels' operations in multi-terminal …
Optimization models for fair horizontal collaboration in demand-responsive transportation
The advances in information and communication technology are changing the way people
move. Companies that offer demand-responsive transportation services have the …
move. Companies that offer demand-responsive transportation services have the …
A learning large neighborhood search for the staff rerostering problem
To effectively solve challenging staff rerostering problems, we propose to enhance a large
neighborhood search (LNS) with a machine learning guided destroy operator. This operator …
neighborhood search (LNS) with a machine learning guided destroy operator. This operator …