69 citations · 122 across the 5 of their papers we have counts for
7 papers
Unpublished Draft: A Post-Processing Approach to Fairness in Tie-Aware Rankings
Somya Nigam, Johan Springael, Kenneth Sörensen
The problem of finding a fair consensus ranking is an active research topic in the domain of fair rank aggregation and has been well studied; however, existing studies predominantl…
Instance generation tool for on-demand transportation problems
Michell Queiroz, Flavien Lucas, Kenneth Sorensen
We present REQreate, a tool to generate instances for on-demand transportation problems. Such problems consist of optimizing the routes of vehicles according to passengers' demand…
Research trends in combinatorial optimisation
Jann Michael Weinand, Kenneth Sörensen, Pablo San Segundo +2
Real-world problems are becoming highly complex and, therefore, have to be solved with combinatorial optimisation (CO) techniques. Motivated by the strong increase of publications…
An enhanced simulation-based iterated local search metaheuristic for gravity fed water distribution network design optimization
Willian C. S. Martinho, Rafael A. Melo, Kenneth Sörensen
The gravity fed water distribution network design (WDND) optimization problem consists in determining the pipe diameters of a water network such that hydraulic constraints are sati…
PILS: Exploring high-order neighborhoods by pattern mining and injection
Florian Arnold, Ítalo Santana, Kenneth Sörensen +1
We introduce pattern injection local search (PILS), an optimization strategy that uses pattern mining to explore high-order local-search neighborhoods, and illustrate its applicati…
Dance Hit Song Prediction
Dorien herremans, David Martens, Kenneth Sörensen
Record companies invest billions of dollars in new talent around the globe each year. Gaining insight into what actually makes a hit song would provide tremendous benefits for the…
A History of Metaheuristics
Kenneth Sorensen, Marc Sevaux, Fred Glover
This chapter describes the history of metaheuristics in five distinct periods, starting long before the first use of the term and ending a long time in the future.