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A variable neighborhood search algorithm to generate piano fingerings for polyphonic sheet music

Balliauw, Matteo; Herremans, Dorien; Palhazi Cuervo, Daniel - In: International transactions in operational research : … 24 (2017) 3, pp. 509-535

Persistent link: https://www.econbiz.de/10011724428

Combining intensification and diversification strategies in VNS : an application to the Vertex Separation problem

Sánchez-Oro, Jesús; Pantrigo, Juan José; Duarte, Abraham - In: Computers & operations research : and their … 52 (2014), pp. 209-219

Persistent link: https://www.econbiz.de/10011281737

Generative neural networks for combinatorial optimization

Probst, Malte - 2016

Persistent link: https://www.econbiz.de/10011552648

Complex network analysis of fitness landscapes

Herrmann, Sebastian - 2017

Persistent link: https://www.econbiz.de/10011623745

Effective metaheuristic algorithms for the minimum differential dispersion problem

Wang, Yang; Wu, Qinghua; Glover, Fred - In: European journal of operational research : EJOR 258 (2017) 3, pp. 829-843

Persistent link: https://www.econbiz.de/10011644489

A revised Variable Neighborhood Search for the Discrete Ordered Median Problem

Olender, Paweł; Ogryczak, Włodzimierz - In: European journal of operational research : EJOR 274 (2019) 2, pp. 445-465

Persistent link: https://www.econbiz.de/10011990111

Multi-objective evolutionary search strategies in constraint programming

Bennetto, Robert; Vuuren, Jan van - In: Operations research perspectives 8 (2021), pp. 1-15

It has been shown that evolutionary algorithms are able to construct suitable search strategies for classes of Constraint Satisfaction Problems (CSPs) in Constraint Programming. This paper is an explanation of the use of multi-objective optimisation in contrast to simple additive weighting...

Persistent link: https://www.econbiz.de/10012435273