Reactive Perception for Autonomous Task Manipulation in Robotic Agents. - Marcio Kikuti; Luiz M. G. Gonçalves; Marcio Teruo Akyama; Marcos D. Medeiros; Mariana Reis; Claus C. Aranha (SIBGRAPI, 2001)

Câmbio: Realistic Three Dimensional Simulation of Humanoids based on Computer Vision and Robotics. - Claus C. Aranha; Schubert R. Carvalho; Luiz M. G. Gonçalves (SIBGRAPI, 2002)

Câmbio: A Realistic Simulated Robot for Vision Algorithms. - Claus C. Aranha; Schubert R. Carvalho; Luiz M. G. Gonçalves (WSCG, 2003)

Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. - Claus de Castro Aranha; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2007)

Application of a Memetic Algorithm to the Portfolio Optimization Problem. - Claus de Castro Aranha; Hitoshi Iba (Australasian Conference on Artificial Intelligence, 2008)

A tree-based GA representation for the portfolio optimization problem. - Claus de Castro Aranha; Hitoshi Iba (GECCO, 2008)

Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios. - Claus de Castro Aranha; Hitoshi Iba (GECCO, 2009)

Optimization of the trading rule in foreign exchange using genetic algorithm. - Akinori Hirabayashi; Claus de Castro Aranha; Hitoshi Iba (GECCO, 2009)

The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization. - Claus de Castro Aranha; Hitoshi Iba (Memetic Comput., 2009)

Money in trees: How memes, trees, and isolation can optimize financial portfolios. - Claus de Castro Aranha; Carlos R. B. Azevedo; Hitoshi Iba (Inf. Sci., 2012)

Optimized bi-dimensional data projection for clustering visualization. - Rodrigo T. Peres; Claus Aranha; Carlos Eduardo Pedreira (Inf. Sci., 2013)

Is it Possible to Generate Good Earthquake Risk Models Using Genetic Algorithms?. - Claus de Castro Aranha; Yuri Cossich Lavinas; Marcelo Ladeira; Bogdan Enescu (IJCCI (ECTA), 2014)

Optimization of oil reservoir models using tuned evolutionary algorithms and adaptive differential evolution. - Claus Aranha; Ryoji Tanabe; Romain Louis Chassagne; Alex S. Fukunaga (CEC, 2015)

Feature selection and classification using ensembles of genetic programs and within-class and between-class permutations. - Annica Ivert; Claus de Castro Aranha; Hitoshi Iba (CEC, 2015)

PSO Algorithm with Transition Probability Based on Hamming Distance for Graph Coloring Problem. - Takuya Aoki; Claus Aranha; Hitoshi Kanoh (SMC, 2015)

Solving facility layout problems using evolutionary strategy based on levy flight. - Dongqing Zhao; Claus Aranha; Hitoshi Kanoh (IWCIA, 2016)

Solving real-world facility layout problems using GA with Levy Flights and multi-decoding. - Dongqing Zhao; Claus Aranha; Hitoshi Kanoh (SNPD, 2017)

Solving the Graph Coloring Problem Using Cuckoo Search. - Claus Aranha; Keita Toda; Hitoshi Kanoh (ICSI (1), 2017)

A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem. - Icaro Marcelino Miranda; Marcelo Ladeira; Claus de Castro Aranha (CEC, 2018)

Comparative study on discrete SI approaches to the graph coloring problem. - Claus Aranha; Jair Pereira Junior; Hitoshi Kanoh (GECCO (Companion), 2018)

Experimental Analysis of the Tournament Size on Genetic Algorithms. - Yuri Cossich Lavinas; Claus Aranha; Tetsuya Sakurai; Marcelo Ladeira (SMC, 2018)

The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition. - Felipe Campelo; Lucas S. Batista; Claus Aranha (CoRR, 2018)

Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module. - Yusei Miura; Tetsuya Sakurai; Claus Aranha; Toshiya Senda; Ryuichi Kato; Yusuke Yamada (CoRR, 2018)

Franken-swarm: grammatical evolution for the automatic generation of swarm-like meta-heuristics. - Anna Bogdanova; Jair Pereira Junior; Claus Aranha (GECCO (Companion), 2019)

Using diversity as a priority function for resource allocation on MOEA/D. - Yuri Cossich Lavinas; Claus Aranha; Tetsuya Sakurai (GECCO (Companion), 2019)

Classification of EEG signals using genetic programming for feature construction. - Icaro Marcelino Miranda; Claus Aranha; Marcelo Ladeira (GECCO, 2019)

Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics. - Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira (TPNC, 2019)

Data Augmentation Using GANs. - Fabio Henrique Kiyoiti dos Santos Tanaka; Claus Aranha (CoRR, 2019)

Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search. - Yifan He 001; Claus Aranha; Tetsuya Sakurai (BIOMA, 2020)

A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design. - Jair Pereira Junior; Claus Aranha; Tetsuya Sakurai (CEC, 2020)

MOEA/D with Random Partial Update Strategy. - Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira; Felipe Campelo (CEC, 2020)

Automatic Generation of Super Mario Levels via Graph Grammars. - Eduardo Hauck; Claus Aranha (CoG, 2020)

INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches. - Nicolò Oreste Pinciroli Vago; Yuri Cossich Lavinas; Daniele C. Uchoa Maia Rodrigues; Felipe A. Moura; Sergio Augusto Cunha; Claus Aranha; Ricardo da Silva Torres (ECMS, 2020)

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019. - Reyhan Aydogan; Tim Baarslag; Katsuhide Fujita; Johnathan Mell; Jonathan Gratch; Dave de Jonge; Yasser Mohammad; Shinji Nakadai; Satoshi Morinaga; Hirotaka Osawa; Claus Aranha; Catholijn M. Jonker (EUMAS/AT, 2020)

On the Use of Predation to Shape Evolutionary Computation. - Felipe S. P. Andrade; Claus Aranha; Ricardo da Silva Torres (SSCI, 2020)

Solving Portfolio Optimization Problems Using MOEA/D and Lévy Flight. - Yifan He 001; Claus Aranha (Adv. Data Sci. Adapt. Anal., 2020)

Exploring Constraint Handling Techniques in Real-World Problems on MOEA/D with Limited Budget of Evaluations. - Felipe Vaz; Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira (EMO, 2021)

Dynamic adaptation of decomposition vector set size for MOEA/D. - Yuta Kobayashi; Claus Aranha; Tetsuya Sakurai (GECCO Companion, 2021)

Sharks, Zombies and Volleyball: Lessons from the Evolutionary Computation Bestiary. - Felipe Campelo; Claus Aranha (LIFELIKE, 2021)

MOEA/D with Adaptative Number of Weight Vectors. - Yuri Cossich Lavinas; Abe Mitsu Teru; Yuta Kobayashi; Claus Aranha (TPNC, 2021)

Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition. - Yuri Cossich Lavinas; Marcelo Ladeira; Claus Aranha (CoRR, 2021)

Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data. - Mitsuteru Abe; Fabio Henrique Kiyoiti dos Santos Tanaka; Jair Pereira Junior; Anna Bogdanova; Tetsuya Sakurai; Claus Aranha (AAMAS, 2022)

Empirical Similarity Measure for Metaheuristics. - Jair Pereira Junior; Claus Aranha (BIOMA, 2022)

Search Trajectories Networks of Multiobjective Evolutionary Algorithms. - Yuri Cossich Lavinas; Claus Aranha; Gabriela Ochoa (EvoApplications, 2022)

Impressions of the GDMC AI Settlement Generation Challenge in Minecraft. - Christoph Salge; Claus Aranha; Adrian Brightmoore; Sean Butler; Rodrigo De Moura Canaan; Michael Cook 001; Michael Cerny Green; Hagen Fischer; Christian Guckelsberger; Jupiter Hadley; Jean-Baptiste Hervé; Mark Richard Johnson; et al. (FDG, 2022)

Incorporating sub-programs as knowledge in program synthesis by PushGP and adaptive replacement mutation. - Yifan He 001; Claus Aranha; Tetsuya Sakurai (GECCO Companion, 2022)

Component-wise analysis of automatically designed multiobjective algorithms on constrained problems. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (GECCO, 2022)

Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. - Yifan He 001; Claus Aranha; Tetsuya Sakurai (SSCI, 2022)

Co-evolving morphology and control of soft robots using a single genome. - Fabio Tanaka; Claus Aranha (SSCI, 2022)

Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems. - Yuri Cossich Lavinas; Gabriela Ochoa; Claus Aranha (CoRR, 2022)

A Novel Weighted Ensemble Learning Based Agent for the Werewolf Game. - Mohiuddeen Khan; Claus Aranha (CoRR, 2022)

An agent-based approach to procedural city generation incorporating Land Use and Transport Interaction models. - Luiz Fernando Silva Eugênio dos Santos; Claus Aranha; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2022)

Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition. - Yuri Cossich Lavinas; Marcelo Ladeira; Claus Aranha (Evol. Comput., 2022)

Metaphor-based metaheuristics, a call for action: the elephant in the room. - Claus Aranha; Christian Leonardo Camacho-Villalón; Felipe Campelo; Marco Dorigo; Rubén Ruiz; Marc Sevaux; Kenneth Sörensen; Thomas Stützle (Swarm Intell., 2022)

Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation. - Gabriela Ochoa; Arnaud Liefooghe; Yuri Cossich Lavinas; Claus Aranha (EvoCOP, 2023)

Re-Evaluating Algorithm Variations Using Empirical Similarity. - Jair Pereira Junior; Claus Aranha (GECCO Companion, 2023)

AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems. - Alexandre Mascarenhas; Yuri Cossich Lavinas; Claus Aranha (GECCO Companion, 2023)

AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest. - Yoshinobu Kano; Neo Watanabe; Kaito Kagaminuma; Claus Aranha; Jaewon Lee; Benedek Hauer; Hisaichi Shibata; Soichiro Miki; Yuta Nakamura; Takuya Okubo; Soga Shigemura; Rei Ito; et al. (INLG (Generation Challenges), 2023)

Lessons from the Evolutionary Computation Bestiary. - Felipe Campelo; Claus Aranha (Artif. Life, 2023)

Extending Lexicase DE for a Multi-Niche Constraint Satisfaction Industrial Design Problem. - Takafumi Fukase; Yuta Kobayashi; Claus Aranha (CEC, 2024)

Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming. - Yifan He 001; Claus Aranha (CEC, 2024)

Novel Genotypic Diversity Metrics for Real-Coded Optimization on Multi-Modal Problems. - Alexandre Mascarenhas; Yuta Kobayashi; Claus Aranha (CEC, 2024)

Multiobjective Evolutionary Component Effect on Algorithm Behavior. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (GECCO Companion, 2024)

Multiobjective Evolutionary Component Effect on Algorithm Behaviour. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (ACM Trans. Evol. Learn. Optim., 2024)