$$MO-Mine_{clust}$$ M O - M i n e c l u s t : A Framework for Multi-objective Clustering

A Cooperative Genetic Algorithm for Knowledge Discovery in Microarray Experiments

A Hybrid Evolutionary Approach for Multicriteria Optimization Problems: Application to the Flow Shop

A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem

A Scalable Biclustering Method for Heterogeneous Medical Data

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A bicriterion approach to deal with a constrained single-objective problem

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An integrated model for an industrial production-distribution problem

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Classical Combinatorial Problems and Solution Techniques

Combining evolutionary algorithms and exact approaches for multi-objective knowledge discovery

Comparison of neighborhoods for the HFF-AVRP

Complexity results for parallel machine problems with a single server

Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets

Cooperation between Branch and Bound and Evolutionary Approaches to Solve a Bi-objective Flow Shop Problem

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Coordination of manufacturing and distribution two industrial examples

Discovery of Genetic and Environmental Interactions in Disease Data Using Evolutionary Computation

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Evolutionary Data Mining for Genomics

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Evolutionary Feature Selection for Bioinformatics

Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search

Knowledge Discovery in Bioinformatics

MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets

Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities

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Metaheuristics for Big Data

Minimizing the makespan on a batch machine with non-identical job sizes: an exact procedure

Multi-Objective Combinatorial Optimization: Problematic and Context

Multi-objective Neutral Neighbors'

NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling

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Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems

Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms

scholarly article by Aymeric Blot et al published 2015 in Lecture Notes in Computer Science

Neutrality in the Graph Coloring Problem

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On the Neutrality of Flowshop Scheduling Fitness Landscapes

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On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives

Set-based multiobjective fitness landscapes

Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport

Spatial decomposition for a multi-facility production and distribution problem

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The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data

The road to VEGAS

Using Datamining Techniques to Help Metaheuristics: A Short Survey

article by Laetitia Jourdan et al published 2006 in Lecture Notes in Computer Science