Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Learning to control an autonomous robot by distributed genetic algorithms
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Evolving dynamical neural networks for adaptive behavior
Adaptive Behavior
Integrating reactive, sequential, and learning behavior using dynamical neural networks
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Evolution of corridor following behavior in a noisy world
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Evolving mobile robots in simulated and real environments
Artificial Life
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Cooperative Mobile Robotics: Antecedents and Directions
Autonomous Robots
Reinforcement Learning in the Multi-Robot Domain
Autonomous Robots
Cooperative mobile robotics: antecedents and directions
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 1 - Volume 1
Construction mechanism of group behavior with cooperation
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
Cooperative multi-robot box-pushing
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
Behavioral diversity in learning robot teams
Behavioral diversity in learning robot teams
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Behavior analysis and training-a methodology for behaviorengineering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This work addresses the issue of how to acquire a collective goal-directed task-driven behavior in a group of distributed agents. The specific problem that we consider here is how simulated ants can perform coordinated movements to collectively transport an object toward a desired goal location. We propose an evolutionary computation mechanism in which no centralized modeling and control are involved except a high-level criterion for measuring the quality of collective task performance. The evolutionary learning approach is based on a fittest-preserved genetic algorithm. While giving the formulation and algorithm of collective behavior learning, we also present the results of several computer simulations for illustrating and validating the effectiveness of the proposed approach.