Claudio Fabiano Motta Toledo

Orcid: 0000-0003-4776-8052

Affiliations:
  • University of São Paulo, Institute of Mathematics and Computer Science, Brazil


According to our database1, Claudio Fabiano Motta Toledo authored at least 75 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A System for Orchestrating Multiple Procedurally Generated Content for Different Player Profiles.
IEEE Trans. Games, March, 2024

2023
Linear approximations to improve lower bounds of a physician scheduling problem in emergency rooms.
J. Oper. Res. Soc., March, 2023

On the Prediction of Anomalous Contaminant Diffusion.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

2022
Illuminating the Space of Dungeon Maps, Locked-door Missions and Enemy Placement Through MAP-Elites.
CoRR, 2022

Feasible-Infeasible Two-Population Genetic Algorithm to evolve dungeon levels with dependencies in barrier mechanics.
Appl. Soft Comput., 2022

Evolving interpretable strategies for zero-sum games.
Appl. Soft Comput., 2022

Illuminating the Space of Enemies Through MAP-Elites.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Procedural generation of dungeons' maps and locked-door missions through an evolutionary algorithm validated with players.
Expert Syst. Appl., 2021

Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm.
Computing, 2021

MILP formulation and hybrid evolutionary algorithms for the glass container industry problem with multiple furnaces.
Comput. Ind. Eng., 2021

Procedural Enemy Generation through Parallel Evolutionary Algorithm.
Proceedings of the 20th Brazilian Symposium on Computer Games and Digital Entertainment, 2021

Programmatic Strategies for Real-Time Strategy Games.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration.
J. Heuristics, 2020

A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem.
IEEE Access, 2020

Wearable Device for Immersive Virtual Reality Control and Application in Upper Limbs Motor Rehabilitation.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Exploratory path planning for mobile robots in dynamic environments with ant colony optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Genetic Algorithm Applied in UAV's Path Planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Optimal Allocation and Sizing of Distributed Generation for Loss Minimization using a Multi-Population Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Collision-Free Encoding for Chance-Constrained Nonconvex Path Planning.
IEEE Trans. Robotics, 2019

Adaptive Generation of Characters for Tabletop Role Playing Games.
Proceedings of the 18th Brazilian Symposium on Computer Games and Digital Entertainment, 2019

Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Tanager: A Generator of Feasible and Engaging Levels forAngry Birds.
IEEE Trans. Games, 2018

Optimized Service Level Agreement Establishment in Cloud Computing.
Comput. J., 2018

Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds.
Comput. Electr. Eng., 2018

A CloudSim Extension for Evaluating Security Overhead in Workflow Execution in Clouds.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018

A Plot from the Stars: Educational Game Development for Teaching Basic Mathematical Functions.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Multi-Objective Optimization for Workflow Scheduling Under Task Selection Policies in Clouds.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Evolving Dungeon Maps With Locked Door Missions.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Clustering-Based Search in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Hybrid Genetic Algorithms Applied to the Glass Container Industry Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

(WIP) Tasks Selection Policies for Securing Sensitive Data on Workflow Scheduling in Clouds.
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017
Speeding up Search-Based Algorithms for Level Generation in Physics-Based Puzzle Games.
Int. J. Artif. Intell. Tools, 2017

Heuristic and Genetic Algorithm Approaches for UAV Path Planning under Critical Situation.
Int. J. Artif. Intell. Tools, 2017

An Analysis of Metaheuristic to SLA Establishment in Cloud Computing.
Proceedings of the 9th Central European Workshop on Services and their Composition (ZEUS 2017), 2017

Clustering-Based Crossover in an Evolutionary Algorithm for the Vehicle Routing Problem with Time Windows.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Evaluating Hardware Platforms and Path Re-planning Strategies for the UAV Emergency Landing Problem.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

An embedded system architecture based on genetic algorithms for mission and safety planning with UAV.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Genetic algorithms approaches for the production planning in the glass container industry.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Chance-Constrained Path Planning with Continuous Time Safety Guarantees.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Mathematical programming-based approaches for multi-facility glass container production planning.
Comput. Oper. Res., 2016

Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion.
Appl. Soft Comput., 2016

An approach based on hybrid genetic algorithm applied to image denoising problem.
Appl. Soft Comput., 2016

Learning to Speed Up Evolutionary Content Generation in Physics-Based Puzzle Games.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Hybrid Multi-Population Genetic Algorithm for UAV Path Planning.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Exploratory path planning using the Max-min ant system algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

PARIS: A Polynomial-Time, Risk-Sensitive Scheduling Algorithm for Probabilistic Simple Temporal Networks with Uncertainty.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015
A relax-and-fix with fix-and-optimize heuristic applied to multi-level lot-sizing problems.
J. Heuristics, 2015

Novelty Detection Based on NCD for Navigation Control of Mobile Robots.
Proceedings of the 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium on Robotics, 2015

IFA2S - In-flight Awareness Augmentation Systems.
Proceedings of the 12th International Conference on Information Technology, 2015

A Multi-population Genetic Algorithm for UAV Path Re-planning under Critical Situation.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

An exploratory path planning method based on genetic algorithm for autonomous mobile robots.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Hybrid Genetic Algorithm for image denoising.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Global optimization using a genetic algorithm with hierarchically structured population.
J. Comput. Appl. Math., 2014

A genetic algorithm/mathematical programming approach to solve a two-level soft drink production problem.
Comput. Oper. Res., 2014

A hybrid GA-ANN approach for autonomous robots topological navigation.
Proceedings of the Symposium on Applied Computing, 2014

Evolutionary approaches to evolve AI scripts for a RTS game.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A multi-population genetic algorithm for procedural generation of levels for platform games.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A search-based approach for generating Angry Birds levels.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Generating levels for physics-based puzzle games with estimation of distribution algorithms.
Proceedings of the 11th Conference on Advances in Computer Entertainment Technology, 2014

2013
A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging.
Comput. Oper. Res., 2013

Glass container production scheduling through hybrid multi-population based evolutionary algorithm.
Appl. Soft Comput., 2013

A hybrid compact genetic algorithm applied to the multi-level capacitated lot sizing problem.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Automatic generation and configuration of Wireless Sensor Networks applications with Genetic Programming.
Proceedings of the 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, 2013

Image denoising based on genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Genetic algorithm, MIP and improvement heuristic applied to the MLCLP with backlogging.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A Genetic Programming based approach to automatically generate Wireless Sensor Networks applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A multi-population genetic algorithm approach for PID controller auto-tuning.
Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation, 2012

A Memetic Framework for Solving the Lot Sizing and Scheduling Problem in Soft Drink Plants.
Proceedings of the Variants of Evolutionary Algorithms for Real-World Applications, 2012

2011
Tabu search to solve the synchronized and integrated two-level lot sizing and scheduling problem.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A hybrid heuristic approach to solve the multi level capacitated lot sizing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Parallel genetic algorithm approaches applied to solve a synchronized and integrated lot sizing and scheduling problem.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2008
Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study.
Proceedings of the Metaheuristics for Scheduling in Industrial and Manufacturing Applications, 2008

Evaluating genetic algorithms with different population structures on a lot sizing and scheduling problem.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Meta-heuristic approaches for a soft drink industry problem.
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008

2007
Evolutionary Approaches to Solve an Integrated Lot Scheduling Problem in the Soft Drink Industry.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007


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