Matheuristics: Optimization, Simulation and Control. - Marco A. Boschetti; Vittorio Maniezzo; Matteo Roffilli; Antonio Bolufé Röhler (Hybrid Metaheuristics, 2009)

Soft Variable Fixing in Path Relinking: An Application to ACO Codes. - Antonio Bolufé Röhler; Marco A. Boschetti; Vittorio Maniezzo (ANTS Conference, 2010)

An Analysis of Sub-swarms in Multi-swarm Systems. - Antonio Bolufé Röhler; Stephen Chen 001 (Australasian Conference on Artificial Intelligence, 2011)

Multi-swarm hybrid for multi-modal optimization. - Antonio Bolufé Röhler; Stephen Chen 001 (IEEE Congress on Evolutionary Computation, 2012)

Reducing Information Overload: Design and Evaluation of Filtering & Ranking Algorithms for Social Networking sites. - Ksenia Koroleva; Antonio Bolufé Röhler (ECIS, 2012)

Minimum population search - Lessons from building a heuristic technique with two population members. - Antonio Bolufé Röhler; Sheng Chen (IEEE Congress on Evolutionary Computation, 2013)

Differential evolution with thresheld convergence. - Antonio Bolufé Röhler; Suilan Estevez-Velarde; Alejandro Piad-Morffis; Sheng Chen; James Montgomery 001 (IEEE Congress on Evolutionary Computation, 2013)

Extending Minimum Population Search towards large scale global optimization. - Antonio Bolufé Röhler; Stephen Chen 001 (IEEE Congress on Evolutionary Computation, 2014)

Some measurements on the effects of the curse of dimensionality. - Stephen Chen 001; James Montgomery 001; Antonio Bolufé Röhler (GECCO (Companion), 2014)

Algoritmos de optimización basados en colonias de hormigas para la estimación de flujos de tráfico. - Antonio Bolufé Röhler; Juan Manuel Otero Pereira; Sonia Fiol-González (Computación y Sistemas, 2014)

Evolution strategies with thresheld convergence. - Alejandro Piad-Morffis; Suilan Estevez-Velarde; Antonio Bolufé Röhler; James Montgomery 001; Stephen Chen 001 (CEC, 2015)

A minimum population search hybrid for large scale global optimization. - Antonio Bolufé Röhler; Sonia Fiol-González; Stephen Chen 001 (CEC, 2015)

Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution. - Stephen Chen 001; James Montgomery 001; Antonio Bolufé Röhler (Appl. Intell., 2015)

Estimation multivariate normal algorithm with thresheld convergence. - Dania Tamayo-Vera; Antonio Bolufé Röhler; Stephen Chen 001 (CEC, 2016)

An LaF-CMAES hybrid for optimization in multi-modal search spaces. - Antonio Bolufé Röhler; Dania Tamayo-Vera; Stephen Chen 001 (CEC, 2017)

Improved Exploration and Exploitation in Particle Swarm Optimization. - Dania Tamayo-Vera; Stephen Chen 001; Antonio Bolufé Röhler; James Montgomery 001; Tim Hendtlass (IEA/AIE, 2018)

An Analysis on the Effect of Selection on Exploration in Particle Swarm Optimization and Differential Evolution. - Stephen Chen 001; Antonio Bolufé Röhler; James Montgomery 001; Tim Hendtlass (CEC, 2019)

An Analysis of Minimum Population Search on Large Scale Global Optimization. - Antonio Bolufé Röhler; Stephen Chen 001; Dania Tamayo-Vera (CEC, 2019)

A Multi-Population Exploration-only Exploitation-only Hybrid on CEC-2020 Single Objective Bound Constrained Problems. - Antonio Bolufé Röhler; Stephen Chen 001 (CEC, 2020)

Machine learning based metaheuristic hybrids for S-box optimization. - Antonio Bolufé Röhler; Dania Tamayo-Vera (J. Ambient Intell. Humaniz. Comput., 2020)

A Random Walk Analysis of Search in Metaheuristics. - Stephen Chen 001; Shehnaz Islam; Antonio Bolufé Röhler; James Montgomery 001; Tim Hendtlass (CEC, 2021)

An Exploration-only Exploitation-only Hybrid for Large Scale Global Optimization. - Antonio Bolufé Röhler; Dania Tamayo-Vera (CEC, 2021)

Machine Learning for Determining the Transition Point in Hybrid Metaheuristics. - Antonio Bolufé Röhler; Ye Yuan (CEC, 2021)

Measuring the Effects of Increasing Dimensionality on Fitness-Based Selection and Failed Exploration. - Stephen Chen 001; Antonio Bolufé Röhler; James Montgomery 001; Dania Tamayo-Vera; Tim Hendtlass (CEC, 2022)

Using Average-Fitness Based Selection to Combat the Curse of Dimensionality. - Stephen Chen 001; Antonio Bolufé Röhler; James Montgomery 001; Wenxuan Zhang; Tim Hendtlass (CEC, 2022)

Glioma segmentation of optimized 3D U-net and prediction of multi-modal survival time. - Qihong Liu; Kai Liu 039; Antonio Bolufé Röhler; Jing Cai 001; Ling He (Neural Comput. Appl., 2022)

A Data-Centric Approach to Parameter Tuning, an Application to Differential Evolution. - Antonio Bolufé Röhler; Wangwei Han (CEC, 2023)

Automatic classification of categories for Great Hobbies Inc. based on Vendor Information. - Jordan Luke; Dania Tamayo-Vera; Antonio Bolufé Röhler; Mark Bowlan (LA-CCI, 2023)

Deep Reinforcement Learning for Smart Restarts in Exploration-Only Exploitation-Only Hybrid Metaheuristics. - Antonio Bolufé Röhler; Bowen Xu (MIC (2), 2024)

Automatic Drawing Method of Biological Targets in Liver Tumor Images. - Qihong Liu; Antonio Bolufé Röhler; Kai Liu (SN Comput. Sci., 2025)