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03/30/2022
Biclustering Algorithms Based on Metaheuristics: A Review
Biclustering is an unsupervised machine learning technique that simultan...
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03/21/2019
Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem
The no-wait flowshop scheduling problem is a variant of the classical pe...
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07/19/2012
Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes
In multiobjective combinatorial optimization, there exists two main clas...
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07/19/2012
On the Neutrality of Flowshop Scheduling Fitness Landscapes
Solving efficiently complex problems using metaheuristics, and in partic...
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07/19/2012
On the Effect of Connectedness for Biobjective Multiple and Long Path Problems
Recently, the property of connectedness has been claimed to give a stron...
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07/19/2012
The Road to VEGAS: Guiding the Search over Neutral Networks
VEGAS (Varying Evolvability-Guided Adaptive Search) is a new methodology...
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07/18/2012
Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives
In this paper, we conduct a fitness landscape analysis for multiobjectiv...
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07/18/2012
Set-based Multiobjective Fitness Landscapes: A Preliminary Study
Fitness landscape analysis aims to understand the geometry of a given op...
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07/18/2012
