This paper aims to give a presentation of the PhD defended by Eneko Osaba on November 16th, 2015, at the University of Deusto. The thesis can be placed in the field of artificial intelligence. Specifically, it is related with multi- population meta-heuristics for solving vehicle routing problems. The dissertation was held in the main auditorium of the University, in a publicly open presentation. After the presentation, Eneko was awarded with the highest grade (cum laude). Additionally, Eneko obtained the PhD obtaining award granted by the Basque Government through
This paper addresses a multiattribute vehicle routing problem, the rich vehicle routing problem, wit...
Vehicle routing problems constitute a class of combinatorial optimization tasks that search for opti...
The Vehicle Routing Problem, which main objective is to find the lowest-cost set of routes to delive...
This paper aims to give a presentation of the PhD defended by Eneko Osaba on November 16th, 2015, at...
This diploma thesis focuses on meta-heuristic algorithms and their ability to solve difficult optimi...
none1noWe present the main results in the author’s Ph.D. thesis (Iori 2004), defended at the Univers...
International audienceThis chapter describes metaheuristics evolving a set of solutions and generati...
National audienceIn recent years the number of passengers and freight vehicles increased in urban ar...
In this paper authors will present analysis and implementation of possible solutions of vehicle rou...
Combinatorial optimization problems are often considered NP-hard problems in the field of decision s...
In the present PhD thesis, a collection of vehicle routing problems is examined and solved. These pr...
The design of efficient algorithms to solve complex problems has traditionally been one of the most ...
With the rapid development of electronic commerce, logistics management has become more and more imp...
Session MF-03: Population-based metaheuristics for routing problems - Stream: Metaheuristics - Invit...
2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 --28 Septemb...
This paper addresses a multiattribute vehicle routing problem, the rich vehicle routing problem, wit...
Vehicle routing problems constitute a class of combinatorial optimization tasks that search for opti...
The Vehicle Routing Problem, which main objective is to find the lowest-cost set of routes to delive...
This paper aims to give a presentation of the PhD defended by Eneko Osaba on November 16th, 2015, at...
This diploma thesis focuses on meta-heuristic algorithms and their ability to solve difficult optimi...
none1noWe present the main results in the author’s Ph.D. thesis (Iori 2004), defended at the Univers...
International audienceThis chapter describes metaheuristics evolving a set of solutions and generati...
National audienceIn recent years the number of passengers and freight vehicles increased in urban ar...
In this paper authors will present analysis and implementation of possible solutions of vehicle rou...
Combinatorial optimization problems are often considered NP-hard problems in the field of decision s...
In the present PhD thesis, a collection of vehicle routing problems is examined and solved. These pr...
The design of efficient algorithms to solve complex problems has traditionally been one of the most ...
With the rapid development of electronic commerce, logistics management has become more and more imp...
Session MF-03: Population-based metaheuristics for routing problems - Stream: Metaheuristics - Invit...
2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 --28 Septemb...
This paper addresses a multiattribute vehicle routing problem, the rich vehicle routing problem, wit...
Vehicle routing problems constitute a class of combinatorial optimization tasks that search for opti...
The Vehicle Routing Problem, which main objective is to find the lowest-cost set of routes to delive...