D
Dimitris C. Paraskevopoulos
Researcher at University of Bath
Publications - 13
Citations - 445
Dimitris C. Paraskevopoulos is an academic researcher from University of Bath. The author has contributed to research in topics: Vehicle routing problem & Evolutionary algorithm. The author has an hindex of 8, co-authored 12 publications receiving 364 citations. Previous affiliations of Dimitris C. Paraskevopoulos include Athens University of Economics and Business & University of London.
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Journal ArticleDOI
A reactive variable neighborhood tabu search for the heterogeneous fleet vehicle routing problem with time windows
Dimitris C. Paraskevopoulos,Panagiotis P. Repoussis,Christos D. Tarantilis,George Ioannou,Gregory P. Prastacos +4 more
TL;DR: The problem is solved using a two-phase solution framework based upon a hybridized Tabu Search, within a new Reactive Variable Neighborhood Search metaheuristic algorithm, illustrating the effectiveness of the approach and its applicability to realistic routing problems.
Journal ArticleDOI
Resource constrained routing and scheduling: Review and research prospects
Dimitris C. Paraskevopoulos,Gilbert Laporte,Panagiotis P. Repoussis,Panagiotis P. Repoussis,Christos D. Tarantilis +4 more
TL;DR: This paper provides a comprehensive survey on resource constrained routing and scheduling that unveils the problem characteristics with respect to resource qualifications, service requirements and problem objectives and identifies the most effective exact and heuristic algorithms for this class of problems.
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A web-based decision support system for waste lube oils collection and recycling
Panagiotis P. Repoussis,Dimitris C. Paraskevopoulos,G. I. Zobolas,Christos D. Tarantilis,George Ioannou +4 more
TL;DR: A web-based decision support system that enables schedulers to tackle reverse supply chain management problems interactively and shows improved productivity and competitiveness, indicating its applicability on realistic reverse logistical planning problems.
Journal ArticleDOI
Optimizing emergency preparedness and resource utilization in mass-casualty incidents
Panagiotis P. Repoussis,Panagiotis P. Repoussis,Dimitris C. Paraskevopoulos,Alkiviadis Vazacopoulos,Nathaniel Hupert +4 more
TL;DR: A response model for the aftermath of a Mass-Casualty Incident (MCI) that can be used to provide operational guidance for regional emergency planning as well as to evaluate strategic preparedness plans is presented.
Journal ArticleDOI
Solving project scheduling problems with resource constraints via an event list-based evolutionary algorithm
TL;DR: In this article, the authors proposed a new solution representation and an evolutionary algorithm for solving the Resource Constrained Project Scheduling Problem (RCPSP) based on an ordered list of events, that are sets of activities that start or finish at the same time.