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Multi-objective vehicle routing problems
Routing problems, such as the traveling salesman problem and the vehicle routing problem,
are widely studied both because of their classic academic appeal and their numerous real …
are widely studied both because of their classic academic appeal and their numerous real …
Evolutionary multitasking via explicit autoencoding
Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary
computation. In contrast to the traditional single-task evolutionary search, EMT conducts …
computation. In contrast to the traditional single-task evolutionary search, EMT conducts …
Affine transformation-enhanced multifactorial optimization for heterogeneous problems
Evolutionary multitasking (EMT) is a newly emerging research topic in the community of
evolutionary computation, which aims to improve the convergence characteristic across …
evolutionary computation, which aims to improve the convergence characteristic across …
Multifactorial evolution: Toward evolutionary multitasking
The design of evolutionary algorithms has typically been focused on efficiently solving a
single optimization problem at a time. Despite the implicit parallelism of population-based …
single optimization problem at a time. Despite the implicit parallelism of population-based …
A hybrid ant colony optimization algorithm for a multi-objective vehicle routing problem with flexible time windows
H Zhang, Q Zhang, L Ma, Z Zhang, Y Liu - Information Sciences, 2019 - Elsevier
In this paper, we present a multi-objective vehicle routing problem with flexible time windows
(MOVRPFlexTW). In this problem, a fleet of vehicles can service a set of customers earlier …
(MOVRPFlexTW). In this problem, a fleet of vehicles can service a set of customers earlier …
State-of-the art review—Evolutionary algorithms for vehicle routing
This paper is a survey of the literature on applications of evolutionary algorithms for vehicle
routing problems. It reports on genetic algorithms, evolution strategies, and particle swarm …
routing problems. It reports on genetic algorithms, evolution strategies, and particle swarm …
[ספר][B] Metaheuristics: from design to implementation
EG Talbi - 2009 - books.google.com
A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …
metaheuristics and shows readers how to design and implement efficient algorithms to solve …
A survey of genetic algorithms for solving multi depot vehicle routing problem
This article presents a survey of genetic algorithms that are designed for solving multi depot
vehicle routing problem. In this context, most of the articles focus on different genetic …
vehicle routing problem. In this context, most of the articles focus on different genetic …
Machine learning to solve vehicle routing problems: A survey
This paper provides a systematic overview of machine learning methods applied to solve NP-
hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both …
hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both …
An ant colony algorithm for the multi-compartment vehicle routing problem
M Reed, A Yiannakou, R Evering - Applied Soft Computing, 2014 - Elsevier
We demonstrate the use of Ant Colony System (ACS) to solve the capacitated vehicle
routing problem associated with collection of recycling waste from households, treated as …
routing problem associated with collection of recycling waste from households, treated as …