CAN ACTION OBSERVATION MODULATE BALANCE PERFORMANCE IN HEALTHY SUBJECTS?


Solving Hard Multiobjective Problems with a Hybridized Method

This paper presents a hybrid method to solve hard multiobjective problems.The proposed approach adopts socialstudiesscholar.com an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front.In this approach, only few points will be generated and then, new intermediate points will be calculated using

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A gain-scheduling control strategy and short-term path optimization with genetic algorithm for autonomous navigation of a sailboat robot

The development of a navigation system for autonomous robotic sailing is a particularly challenging task since the sailboat robot uses unpredictable wind forces for its propulsion besides working in a highly nonlinear and harsh environment, the water.Toward solving the problems that appear in this kind of environment, we propose a navigation system

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