An undergraduate hardware project: controlling a smart robot by breadboard circuitry
Computers & Education
Path Planning for Cooperating Robots Using a GA-Fuzzy Approach
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Does lego training stimulate pupils' ability to solve logical problems?
Computers & Education
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
An MSc program in computational economics with a focus on computational intelligence
IEEE Computational Intelligence Magazine
A research-led and industry-oriented MSc program in natural computation
IEEE Computational Intelligence Magazine
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Evolutionary programming-based univector field navigation methodfor past mobile robots
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multiobjective quantum-inspired evolutionary algorithm for fuzzy path planning of mobile robot
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Research frontier: memetic computation-past, present & future
IEEE Computational Intelligence Magazine
Memetic compact differential evolution for cartesian robot control
IEEE Computational Intelligence Magazine
Natural and remote sensing image segmentation using memetic computing
IEEE Computational Intelligence Magazine
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Information Sciences: an International Journal
Aircraft morphing wing design by using partial topology optimization
Structural and Multidisciplinary Optimization
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As the robot soccer system becomes stabilized, it has been used as an educational platform with which various topics on mobile robotics can be taught. As one of key topics in the education of mobile robotics is computational intelligence-based navigation, this paper proposes a multi-objective population-based incremental learning (MOPBIL) algorithm to obtain the fuzzy path planner for optimal path to the ball, minimizing three objectives such as elapsed time, heading direction and posture angle errors in a robot soccer system. MOPBIL employs the probabilistic mechanism, which generates new population using probability vectors. As the probability vectors are updated by referring to nondominated solutions, population converges to Pareto-optimal solution set. Simulation and experiment results show the effectiveness of the proposed MOPBIL from the viewpoint of the proximity to the Pareto-optimal set, size of the dominated space, coverage of two sets and diversity metric. By implementing each of the solutions into the educational platform, it can be educated how multi- objective optimization is realized in the real-world problem.