An introduction to population approaches for optimization and hierarchical objective functions: A discussion on the role of tabu search. - Pablo Moscato (Ann. Oper. Res., 1993)

On the Performance of Heuristics on Finite and Infinite Fractal Instances of the Euclidean Traveling Salesman Problem. - Pablo Moscato; Michael G. Norman (INFORMS J. Comput., 1998)

A memetic algorithm for the total tardiness single machine scheduling problem. - Paulo Morelato França; Alexandre Mendes; Pablo Moscato (Eur. J. Oper. Res., 2001)

Population Studies for the Gate Matrix Layout Problem. - Alexandre Mendes; Paulo Morelato França; Pablo Moscato; Vinícius Garcia (IBERAMIA, 2002)

Inferring Phylogenetic Trees Using Evolutionary Algorithms. - Carlos Cotta; Pablo Moscato (PPSN, 2002)

Ordering Gene Expression Data Using One-dimensional Self-Organizing Maps. - Lalinka de C. T. Gomes; Fernando J. Von Zuben; Pablo Moscato (WOB, 2002)

A Gentle Introduction to Memetic Algorithms. - Pablo Moscato; Carlos Cotta (Handbook of Metaheuristics, 2003)

Applying Memetic Algorithms to the Analysis of Microarray Data. - Carlos Cotta; Alexandre Mendes; Vinícius Garcia; Paulo Morelato França; Pablo Moscato (EvoWorkshops, 2003)

Una Introducción a los Algoritmos Memeticos. - Pablo Moscato; Carlos Cotta (Inteligencia Artif., 2003)

A mixed evolutionary-statistical analysis of an algorithm's complexity. - Carlos Cotta; Pablo Moscato (Appl. Math. Lett., 2003)

The k-FEATURE SET problem is W[2]-complete. - Carlos Cotta; Pablo Moscato (J. Comput. Syst. Sci., 2003)

Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Microarray Data. - Carlos Cotta; Christian Sloper; Pablo Moscato (EvoWorkshops, 2004)

A proposal for direct-ordering gene expression data by self-organising maps. - Lalinka de Campos Teixeira Gomes; Fernando J. Von Zuben; Pablo Moscato (Appl. Soft Comput., 2004)

A New Memetic Algorithm for the Asymmetric Traveling Salesman Problem. - Luciana S. Buriol; Paulo Morelato França; Pablo Moscato (J. Heuristics, 2004)

Integer Programming Models and Algorithms for Molecular Classification of Cancer from Microarray Data. - Regina Berretta; Alexandre Mendes; Pablo Moscato (ACSC, 2005)

The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction. - Pablo Moscato; Luke Mathieson; Alexandre Mendes; Regina Berretta (ACSC, 2005)

Genes Related with Alzheimer's Disease: A Comparison of Evolutionary Search, Statistical and Integer Programming Approaches. - Pablo Moscato; Regina Berretta; Mou'ath Hourani; Alexandre Mendes; Carlos Cotta (EvoWorkshops, 2005)

Gene Ordering in Microarray Data Using Parallel Memetic Algorithms. - Alexandre Mendes; Carlos Cotta; Vinícius Garcia; Paulo Morelato França; Pablo Moscato (ICPP Workshops, 2005)

Evolutionary algorithms for scheduling a flowshop manufacturing cell with sequence dependent family setups. - Paulo Morelato França; Jatinder N. D. Gupta; Alexandre Mendes; Pablo Moscato; Klaas J. Veltink (Comput. Ind. Eng., 2005)

Hierarchical Clustering, Languages and Cancer. - Pritha Mahata; Wagner Costa; Carlos Cotta; Pablo Moscato (EvoWorkshops, 2006)

An automatic graph layout procedure to visualize correlated data. - Mario Inostroza-Ponta; Regina Berretta; Alexandre Mendes; Pablo Moscato (IFIP AI, 2006)

A parallel memetic algorithm applied to the total tardiness machine scheduling problem. - Vinícius Garcia; Paulo Morelato França; Alexandre Mendes; Pablo Moscato (IPDPS, 2006)

An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity. - Mario Inostroza-Ponta; Alexandre Mendes; Regina Berretta; Pablo Moscato (ACAL, 2007)

Selection of Discriminative Genes in Microarray Experiments Using Mathematical Programming. - Regina Berretta; Alexandre Mendes; Pablo Moscato (J. Res. Pract. Inf. Technol., 2007)

Benchmarking a memetic algorithm for ordering microarray data. - Pablo Moscato; Alexandre Mendes; Regina Berretta (Biosyst., 2007)

Memetic Algorithms. - Carlos Cotta; Pablo Moscato (Handbook of Approximation Algorithms and Metaheuristics, 2007)

Combinatorial and Algorithmic Issues for Microarray Analysis. - Michael A. Langston; Carlos Cotta; Pablo Moscato (Handbook of Approximation Algorithms and Metaheuristics, 2007)

An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments. - Luciana Montera; Maria do Carmo Nicoletti; Flavio Henrique da Silva; Pablo Moscato (IEEE Congress on Evolutionary Computation, 2008)

Novel Biomarkers for Prostate Cancer Revealed by (α, β)-k-Feature Sets. - Martín Gómez Ravetti; Regina Berretta; Pablo Moscato (Foundations of Computational Intelligence (5), 2009)

The Gene Interaction Miner: a new tool for data mining contextual information for protein-protein interaction analysis. - Aaron Ikin; Carlos Riveros; Pablo Moscato; Alexandre Mendes (Bioinform., 2010)

Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data. - Gary L. Rogers; Pablo Moscato; Michael A. Langston (BMC Bioinform., 2010)

Evolving L-Systems as an Intelligent Design Approach to Find Classes of Difficult-to-Solve Traveling Salesman Problem Instances. - Farhan Ahammed; Pablo Moscato (EvoApplications (1), 2011)

Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms. - Ahmed Shamsul Arefin; Mario Inostroza-Ponta; Luke Mathieson; Regina Berretta; Pablo Moscato (ICA3PP (2), 2011)

A new greedy heuristic for 3DHP protein struture prediction with side chain. - Lauro Cesar Galvão; Luiz Fernando Nunes; Heitor Silvério Lopes; Pablo Moscato (BIBM Workshops, 2012)

kNN-Borůvka-GPU: A Fast and Scalable MST Construction from kNN Graphs on GPU. - Ahmed Shamsul Arefin; Carlos Riveros; Regina Berretta; Pablo Moscato (ICCSA (1), 2012)

Mining disjunctive minimal generators with TitanicOR. - Renato Vimieiro; Pablo Moscato (Expert Syst. Appl., 2012)

Memetic Algorithms in Bioinformatics. - Regina Berretta; Carlos Cotta; Pablo Moscato (Handbook of Memetic Algorithms, 2012)

Memetic Algorithms: The Untold Story. - Pablo Moscato (Handbook of Memetic Algorithms, 2012)

Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics. - Benjamin Lucas; Ahmed Shamsul Arefin; Natalie Jane de Vries; Regina Berretta; Jamie Carlson; Pablo Moscato (BDCloud, 2014)

Identifying Communities of Trust and Confidence in the Charity and Not-for-Profit Sector: A Memetic Algorithm Approach. - Leila Moslemi Naeni; Natalie Jane de Vries; Rodrigo Reis; Ahmed Shamsul Arefin; Regina Berretta; Pablo Moscato (BDCloud, 2014)

Gauging Heterogeneity in Online Consumer Behaviour Data: A Proximity Graph Approach. - Natalie Jane de Vries; Ahmed Shamsul Arefin; Pablo Moscato (BDCloud, 2014)

Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs. - Carlos Riveros; Manuel Ujaldon; Pablo Moscato (IWBBIO, 2014)

A new method for mining disjunctive emerging patterns in high-dimensional datasets using hypergraphs. - Renato Vimieiro; Pablo Moscato (Inf. Syst., 2014)

Disclosed: An efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data. - Renato Vimieiro; Pablo Moscato (Inf. Sci., 2014)

Efficient data partitioning for the GPU computation of moment functions. - Manuel Jesús Martín-Requena; Pablo Moscato; Manuel Ujaldon (J. Parallel Distributed Comput., 2014)

The MST-kNN with Paracliques. - Ahmed Shamsul Arefin; Carlos Riveros; Regina Berretta; Pablo Moscato (ACALCI, 2015)

On Ranking Nodes using kNN Graphs, Shortest-paths and GPUs. - Ahmed Shamsul Arefin; Regina Berretta; Pablo Moscato (AusDM, 2015)

FSMEC: A Feature Selection Method based on the Minimum Spanning Tree and Evolutionary Computation. - Amer Abu Zaher; Regina Berretta; Ahmed Shamsul Arefin; Pablo Moscato (AusDM, 2015)

A Memetic Algorithm for the Quadratic Assignment Problem with parallel local search. - Matthew Harris; Regina Berretta; Mario Inostroza-Ponta; Pablo Moscato (CEC, 2015)

Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement. - Natalie Jane de Vries; Ahmed Shamsul Arefin; Luke Mathieson; Benjamin Lucas; Pablo Moscato (ADMA, 2016)

Optimising weights for heterogeneous ensemble of classifiers with differential evolution. - Mohammad Nazmul Haque; Nasimul Noman; Regina Berretta; Pablo Moscato (CEC, 2016)

Proceedings in Adaptation, Learning and Optimization. - Ademir C. Gabardo; Regina Berretta; Natalie Jane de Vries; Pablo Moscato (IES, 2016)

Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset. - Heloisa H. Milioli; Renato Vimieiro; Inna Tishchenko; Carlos Riveros; Regina Berretta; Pablo Moscato (BioData Min., 2016)

Legendre moments as high performance bone biomarkers: computational methods and GPU acceleration. - José A. Lachiondo; Manuel Ujaldon; Regina Berretta; Pablo Moscato (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016)

Finding Patterns is Almost Always Hard. - Giuseppe Lancia; Luke Mathieson; Pablo Moscato (CoRR, 2016)

An integer programming model for protein structure prediction using the 3D-HP side chain model. - Luiz Fernando Nunes; Lauro Cesar Galvão; Heitor Silvério Lopes; Pablo Moscato; Regina Berretta (Discret. Appl. Math., 2016)

A fast meta-heuristic approach for the (α, β)-k-feature set problem. - Mateus Rocha de Paula; Regina Berretta; Pablo Moscato (J. Heuristics, 2016)

PasMoQAP: A parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem. - Claudio Sanhueza; Francia Jimenez; Regina Berretta; Pablo Moscato (CEC, 2017)

A multi-objective approach for the (α, β)-k-feature set problem using memetic algorithms. - Francia Jimenez; Claudio Sanhueza; Regina Berretta; Pablo Moscato (GECCO (Companion), 2017)

A memetic algorithm for community detection by maximising the connected cohesion. - Mohammad Nazmul Haque; Luke Mathieson; Pablo Moscato (SSCI, 2017)

Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks. - Shannon Fenn; Pablo Moscato (J. Mach. Learn. Res., 2017)

Separating sets of strings by finding matching patterns is almost always hard. - Giuseppe Lancia; Luke Mathieson; Pablo Moscato (Theor. Comput. Sci., 2017)

Symbolic Regression Modeling of Drug Responses. - Jake Fitzsimmons; Pablo Moscato (AI4I, 2018)

Accelerating a multi-objective memetic algorithm for feature selection using hierarchical k-means indexes. - Francia Jiménez; Claudio Sanhueza; Regina Berretta; Pablo Moscato (GECCO (Companion), 2018)

mQAPViz: a divide-and-conquer multi-objective optimization algorithm to compute large data visualizations. - Claudio Sanhueza; Francia Jiménez; Regina Berretta; Pablo Moscato (GECCO, 2018)

Deep neural networks understand investors better. - Nader Mahmoudi; Paul Docherty 002; Pablo Moscato (Decis. Support Syst., 2018)

Memetic Algorithms. - Carlos Cotta; Luke Mathieson; Pablo Moscato (Handbook of Heuristics, 2018)

World's Best Universities and Personalized Rankings. - Mario Inostroza-Ponta; Natalie Jane de Vries; Pablo Moscato (Handbook of Heuristics, 2018)

Overlapping Communities in Co-purchasing and Social Interaction Graphs: A Memetic Approach. - Ademir C. Gabardo; Regina Berretta; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications. - Mohammad Nazmul Haque; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

A Multi-objective Meta-Analytic Method for Customer Churn Prediction. - Mohammad Nazmul Haque; Natalie Jane de Vries; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

Visualizing Products and Consumers: A Gestalt Theory Inspired Method. - Claudio Sanhueza Lobos; Natalie Jane de Vries; Mario Inostroza-Ponta; Regina Berretta; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

An Introduction to Proximity Graphs. - Luke Mathieson; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

Using Network Alignment to Identify Conserved Consumer Behaviour Modelling Constructs. - Luke Mathieson; Natalie Jane de Vries; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

Business Network Analytics: From Graphs to Supernetworks. - Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

Memetic Algorithms for Business Analytics and Data Science: A Brief Survey. - Pablo Moscato; Luke Mathieson (Business and Consumer Analytics: New Ideas, 2019)

Marketing Meets Data Science: Bridging the Gap. - Pablo Moscato; Natalie Jane de Vries (Business and Consumer Analytics: New Ideas, 2019)

Clustering Consumers and Cluster-Specific Behavioural Models. - Natalie Jane de Vries; Jamie Carlson; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

Consumer Behaviour and Marketing Fundamentals for Business Data Analytics. - Natalie Jane de Vries; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

Datasets for Business and Consumer Analytics. - Natalie Jane de Vries; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

Introducing Clustering with a Focus in Marketing and Consumer Analysis. - Natalie Jane de Vries; Lukasz P. Olech; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

A Memetic Algorithm for Symbolic Regression. - Haoyuan Sun; Pablo Moscato (CEC, 2019)

A Computational Approach for Designing Combination Therapy in Combating Glioblastoma. - Terry Truong; Pablo Moscato; Nasimul Noman (CEC, 2019)

A memetic algorithm approach to network alignment: mapping the classification of mental disorders of DSM-IV with ICD-10. - Mohammad Nazmul Haque; Luke Mathieson; Pablo Moscato (GECCO, 2019)

Automatic Discovery and Cleansing of Numerical Metamorphic Relations. - Bo Zhang 057; Hongyu Zhang 002; Junjie Chen 003; Dan Hao 001; Pablo Moscato (ICSME, 2019)

AutoMR: Automatic Discovery and Cleansing of Numerical Metamorphic Relations. - Bo Zhang 057; Hongyu Zhang 002; Junjie Chen 003; Dan Hao 001; Pablo Moscato (ICSME, 2019)

An adaptive memetic algorithm for feature selection using proximity graphs. - Amer Abu Zaher; Regina Berretta; Nasimul Noman; Pablo Moscato (Comput. Intell., 2019)

The Cohesion-Based Communities of Symptoms of the Largest Component of the DSM-IV Network. - Mohammad Nazmul Haque; Pablo Moscato (J. Interconnect. Networks, 2019)

Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences. - Pablo Moscato; Haoyuan Sun; Mohammad Nazmul Haque (CEC, 2020)

Anomaly Detection via Mining Numerical Workflow Relations from Logs. - Bo Zhang 057; Hongyu Zhang 002; Pablo Moscato; Aozhong Zhang (SRDS, 2020)

The Unexpected Virtue of Problem Reductions or How to Solve Problems Being Lazy but Wise. - Luke Mathieson; Pablo Moscato (SSCI, 2020)

M-Link: a link clustering memetic algorithm for overlapping community detection. - Ademir C. Gabardo; Regina Berretta; Pablo Moscato (Memetic Comput., 2020)

Designing optimal combination therapy for personalised glioma treatment. - Nasimul Noman; Pablo Moscato (Memetic Comput., 2020)

Evolutionary Hyperparameter Optimisation for Sentence Classification. - Brendan Rogers; Nasimul Noman; Stephan K. Chalup; Pablo Moscato (CEC, 2021)

Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays. - Pablo Moscato; Hugh Craig; Gabriel Egan; Mohammad Nazmul Haque; Kevin Huang; Julia Sloan; Jon Corrales de Oliveira (CoRR, 2021)

Analytic Continued Fractions for Regression: A Memetic Algorithm Approach. - Pablo Moscato; Haoyuan Sun; Mohammad Nazmul Haque (Expert Syst. Appl., 2021)

Augmented intuition: a bridge between theory and practice. - Pablo Moscato; Luke Mathieson; Mohammad Nazmul Haque (J. Heuristics, 2021)

Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification. - Brendan Rogers; Nasimul Noman; Stephan K. Chalup; Pablo Moscato (CEC, 2022)

Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays. - Pablo Moscato; Hugh Craig; Gabriel Egan; Mohammad Nazmul Haque; Kevin Huang; Julia Sloan; Jon Corrales de Oliveira (Expert Syst. Appl., 2022)

Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods. - Eneko Osaba; Javier Del Ser; Carlos Cotta; Pablo Moscato (Swarm Evol. Comput., 2022)

Dynamic Depth for Better Generalization in Continued Fraction Regression. - Pablo Moscato; Andrew Ciezak; Nasimul Noman (GECCO, 2023)

Approximating the Boundaries of Unstable Nuclei Using Analytic Continued Fractions. - Pablo Moscato; Rafael Bartnik Grebogi (GECCO Companion, 2023)

Learning to Extrapolate Using Continued Fractions: Predicting the Critical Temperature of Superconductor Materials. - Pablo Moscato; Mohammad Nazmul Haque; Kevin Huang; Julia Sloan; Jon Corrales de Oliveira (Algorithms, 2023)

Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs. - Bo Zhang 057; Hongyu Zhang 002; Van-Hoang Le; Pablo Moscato; Aozhong Zhang (Autom. Softw. Eng., 2023)

Towards Target Derivatives-Enhanced Continued Fraction Regression. - Guillaume Briffoteaux; Andrew Ciezak; Pablo Moscato (GECCO Companion, 2024)

A Memetic Algorithm To Find a Hamiltonian Cycle in a Hamiltonian Graph. - Sarwan Ali; Pablo Moscato (CoRR, 2024)

A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm. - Brendan Rogers; Nasimul Noman; Stephan K. Chalup; Pablo Moscato (Evol. Intell., 2024)