- Technical Report No. 494 Using Cyclic Genetic Algorithms
- Using Cyclic Genetic Algorithms to Evolve MultiLoop Control Programs
- Technical Report No. 494 Using Cyclic Genetic Algorithms
- PUNCTUATED ANYTIME LEARNING FOR EVOLVING A TEAM
- EVOLVING NEURAL NETWORK CONTROLLERS TO PRODUCE LEG CYCLES FOR GAIT GENERATION
- Evolving Autonomous Agent Control the Xpilot Environment Gary Parker
- Learning Adaptive Leg Cycles Using Fitness Biasing Gary B. Parker
- Learning Control Cycles for Area Coverage with Cyclic Genetic Algorithms
- CYCLIC GENETIC ALGORITHMS FOR EVOLVING MULTILOOP CONTROL PROGRAMS
- SAMPLING THE NATURE OF A POPULATION: PUNCTUATED ANYTIME LEARNING FOR COEVOLVING A TEAM
- The CoEvolution of Model Parameters and Control Programs in Evolutionary Robotics
- Learning Area Coverage Using the CoEvolution of Model Parameters
- CONTINUOUS POWER SUPPLY FOR ROBOT COLONY GARY PARKER, CONNECTICUT COLLEGE, USA, parker@conncoll.edu
- Punctuated Anytime Learning for Hexapod Gait Generation Gary B. Parker
- Gait Evolution for a Hexapod Robot Karen Larochelle, Sarah Dashnaw, and Gary Parker
- Competing Sample Sizes for the CoEvolution of Heterogeneous Agents
- Controlled Use Robot Colony Power Supply Gary Parker
- Evolving Cyclic Control for a Hexapod Robot Performing Area Coverage
- Evolving Neural Networks for Hexapod Leg Controllers Gary B. Parker and Zhiyi Li
- EVOLVING HEXAPOD GAITS USING A CYCLIC GENETIC ALGORITHM
- Cyclic Genetic Algorithm with Conditional Branching PredatorPrey Scenario
- Evolving Gaits for the Lynxmotion Hexapod II Robot Computer Science, Worcester Polytechnic Institute
- Genetic Algorithms for the Development of RealTime # MultiHeuristic Search Strategies
- Fitness Biasing Produce Adaptive Gaits for Hexapod Robots
- Comparison of Sampling Sizes for the CoEvolution of Cooperative Agents
- Partial Recombination for the CoEvolution of Model Parameters
- Varying Sample Sizes for the CoEvolution of Heterogeneous Agents
- Evolving Towers in a 3Dimensional Simulated Environment Gary B. Parker, Andrey S. Anev, and Dejan Duzevik
- Punctuated Anytime Learning for Evolving MultiAgent Capture Strategies
- Evolution and Prioritization Survival Strategies for Simulated Robot Xpilot
- Generating Arachnid Robot Gaits with Cyclic Genetic Algorithms
- Learning Gaits for the Stiquito Gary B. Parker, David W. Braun, and Ingo Cyliax
- CoEvolving Team Capture Strategies for Dissimilar Robots H. Joseph Blumenthal and Gary B. Parker
- Evolution of MultiLoop Controllers for Fixed Morphology with Cyclic Genetic Algorithm
- The Incremental Evolution of Gaits for Hexapod Robots Gary B. Parker
- Fitness Biasing for the Box Pushing Task Gary Parker and Jim O'Connor
- Abstract--An unconstrained cyclic genetic algorithm (CGA) is presented as a means to evolve multi-loop behavior for an
- World Automation Congress 2010 TSI Press. WING AND GLIDING DYNAMICS OF A FLAPPING WINGED
- Abstract--The results presented in this paper are a part of the second phase of a body of research with the goal of co-
- Investigating the Effects of Learning Speeds on Xpilot Agent Evolution
- CHOOSING A CHARGING STATION USING SOUND IN COLONY ROBOTICS GARY PARKER, CONNECTICUT COLLEGE, USA, PARKER@CONNCOLL.EDU
- http://wacong.org ALOHA FROM BIG ISLAND OF HAWAII
- Abstract--It is desirable that colony robots be autonomous and self-sufficient, which requires that they can perform their
- Abstract--This paper discusses a new implementation of embodied evolution that uses the concept of punctuated anytime
- Controlled Use of a Robot Colony Power Supply Gary B. Parker
- Comparison of Sampling Sizes for the Co-Evolution of Cooperative Agents
- Varying Sample Sizes for the Co-Evolution of Heterogeneous Agents
- Kobe, Japan 19 23 September 2010
- CONTINUOUS POWER SUPPLY FOR A ROBOT COLONY GARY PARKER, CONNECTICUT COLLEGE, USA, parker@conncoll.edu
- Computational Intelligence for Learning Morphology and Control Special Session for the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010)
- EVOLVING HEXAPOD GAITS USING A CYCLIC GENETIC ALGORITHM
- Abstract--It is advantageous for colony robots to be autonomous and self-sufficient. This requires them to
- Using Cyclic Genetic Algorithms to Learn Gaits for an Actual Quadruped Robot
- Competing Sample Sizes for the Co-Evolution of Heterogeneous Agents
- Fitness Biasing to Produce Adaptive Gaits for Hexapod Robots
- LOCOMOTION CONTROL CYCLES ADAPTED FOR DISABILITIES IN HEXAPOD ROBOTS
- Matt Parker Computer Science
- PUNCTUATED ANYTIME LEARNING FOR EVOLVING A TEAM
- Learning Area Coverage Using the Co-Evolution of Model Parameters
- Greedy Selection in Evolutionary Computation Special Session for the 2011 IEEE Congress on Evolutionary Computation (CEC 2011)
- Gary B. Parker Computer Science
- World Automation Congress 2010 TSI Press. REAL-TIME AI IN XPILOT USING REINFORCEMENT LEARNING
- SAMPLING THE NATURE OF A POPULATION: PUNCTUATED ANYTIME LEARNING FOR CO-EVOLVING A TEAM
- EVOLVING PREDATOR CONTROL PROGRAMS FOR A HEXAPOD ROBOT PURSUING A PREY
- The Co-Evolution of Model Parameters and Control Programs in Evolutionary Robotics
- Abstract--This paper discusses utilizing genetic algorithms to automatically design a suitable sensor morphology and
- Abstract--In the research presented in this paper, we use incremental evolution to learn multifaceted neural network
- Evolution of Multi-Loop Controllers for Fixed Morphology with a Cyclic Genetic Algorithm
- RESPONSE TO CHANGES IN KEY STIMULI THROUGH THE CO-EVOLUTION OF SENSOR MORPHOLOGY AND CONTROL
- EVOLVING SENSOR MORPHOLOGY ON A LEGGED ROBOT IN NICHE ENVIRONMENTS
- Evolution and Prioritization of Survival Strategies for a Simulated Robot in Xpilot
- The Effects of Using a Greedy Factor in Hexapod Gait Learning
- Punctuated Anytime Learning for Evolving Multi-Agent Capture Strategies
- Genetic Algorithms for the Development of Real-Time Multi-Heuristic Search Strategies
- Using Evolutionary Strategies for the Real-Time Learning of Controllers for Autonomous Agents in Xpilot-AI
- METACHRONAL WAVE GAIT GENERATION FOR HEXAPOD ROBOTS
- Technical Report No. 494 Using Cyclic Genetic Algorithms
- Gait Evolution for a Hexapod Robot Karen Larochelle, Sarah Dashnaw, and Gary Parker
- Punctuated Anytime Learning for Hexapod Gait Generation Gary B. Parker
- Co-Evolving Team Capture Strategies for Dissimilar Robots H. Joseph Blumenthal and Gary B. Parker
- Benchmarking Punctuated Anytime Learning for Evolving a Multi-Agent Team's Binary Controllers
- Abstract--Xpilot, a network game where agents engage in space combat, has been shown to be a good test bed for
- Partial Recombination for the Co-Evolution of Model Parameters
- Comparison of a Greedy Selection Operator to Tournament Selection and a Hill Climber
- EVOLVING LEG CYCLES TO PRODUCE HEXAPOD GAITS GARY B. PARKER
- PUNCTUATED ANYTIME LEARNING FOR EVOLUTIONARY ROBOTICS
- Autonomous Agent Learning Special Session for the 2011 IEEE Congress on Evolutionary Computation (CEC 2011)
- 7th International Symposium on Intelligent Automation and Control
- Evolving Autonomous Agent Control in the Xpilot Environment Gary B. Parker
- Learning Control Cycles for Area Coverage with Cyclic Genetic Algorithms
- Evolving Neural Networks for Hexapod Leg Controllers Gary B. Parker and Zhiyi Li
- CYCLIC GENETIC ALGORITHMS FOR EVOLVING MULTI-LOOP CONTROL PROGRAMS
- Abstract--In this paper, we describe a distributed learning system used to evolve a control program for an agent operating
- EVOLVING NEURAL NETWORK CONTROLLERS TO PRODUCE LEG CYCLES FOR GAIT GENERATION
- Abstract--Evolving a robot's sensor morphology along with its control program has the potential to significantly improve
- Matt Parker Computer Science
- Cyclic Genetic Algorithm with Conditional Branching in a Predator-Prey Scenario
- BASIC CONTROL FOR FOUR ROTOR AUTONOMOUS AERIAL AGENT JONATHAN MCLEAN, CONNECTICUT COLLEGE, USA,
- Evolving Towers in a 3-Dimensional Simulated Environment Gary B. Parker, Andrey S. Anev, and Dejan Duzevik
- Generating Arachnid Robot Gaits with Cyclic Genetic Algorithms
- Using Cyclic Genetic Algorithms to Evolve Multi-Loop Control Programs
- Adaptive Hexapod Gait Control Using Anytime Learning with Fitness Biasing
- Quadruped Gait Learning Using Cyclic Genetic Algorithms
- Evolving Cyclic Control for a Hexapod Robot Performing Area Coverage
- World Automation Congress 2010 TSI Press. USING A FUZZY LOGIC CONTROL SYSTEM FOR AN XPILOT
- World Automation Congress 2010 TSI Press. THE XPILOT-AI ENVIRONMENT
- Learning Adaptive Leg Cycles Using Fitness Biasing Gary B. Parker
- Evolving Gaits for the Lynxmotion Hexapod II Robot Computer Science, Worcester Polytechnic Institute
- Fitness Biasing for Evolving an Xpilot Combat Agent Gary Parker and Phil Fritzsche
- CYCLIC GENETIC ALGORITHMS FOR THE LOCOMOTION OF HEXAPOD ROBOTS
- Learning Gaits for the Stiquito Gary B. Parker, David W. Braun, and Ingo Cyliax
