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For the short-range rendezvous problem, an approach of time-optimal multi-impulse rendezvous was put forward using hybrid genetic algorithm. Firstly, based on the state transition matrix of T-H equation, the mathematical models of time-optimal multi-impulse rendezvous was established and transformed into a nonlinear optimization problem, In order to obtain the global solution efficiently, a hybrid...
In order to propose a more effective function optimization method, a novel algorithm named HGPSA was proposed which integrates the powerful global search ability of GA and the excellent local search ability of PS. The experiments of 10 runs on three test functions (Powell function, Rosenbrock function, and Schaffer function) demonstrate that the proposed algorithm is superior to both GA and PS with...
A global optimal mathematical model of increasing pressure for large-scale territorial gas pipeline network is established, and it takes maximum annual benefits of pipeline network system as objective function after comprehensively considered the upstream gas producing conditions, the downstream gas utilizing conditions, the balance equation of nodal flow capacity, and the power, amount, position...
This paper presents a novel scheme for global path exploration to multi robots environment using hybrid implementation of evolutionary heuristic. This scheme is used to find an optimal path for each mobile robot to move in a static environment expressed by a weighted graph with nodes and links. The interesting part of this scheme is that the chromosome structure is designed to cluster the landmarks...
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