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Aiming at the problem of heterogeneous multi-UAVs' cooperative task assignment when accomplishing attack and damage evaluation tasks. We put forward a hybrid algorithm GSA-GA (Gravitation Search Algorithm — Genetic Algorithm), which is a combination of the gravitation search algorithm and genetic algorithm. In this hybrid algorithm, a new code and decode scheme for the GSA particles are given. We...
In this paper, we consider the problem of decentralized task assignment in a network of UAVs. Given a set of task-areas need to be reconnoitered, this problem concerns the non-overlapping allocation of task-areas to UAVs for the purpose of maximizing the sum of the UAV's utility functions. We bring an effective Improved Particle Swarm Optimization (IPSO) algorithm for this decision-making problem...
In digital communication systems, due to multipath transmission and the bandwidth of cable, there are some ISI(inter-symbol-interference) in the signals. Blind equalization that does not require a pilot sequence can transmit adaptive equalizer tap coefficients and can effectively remove inter-symbol interference. This paper introduces the principle of blind equalization technique that focus on the...
For the problem of lacking efficient regulation mechanism between local search and global search in an evolution algorithm based on cloud model (CEBA), a competitive-cooperative co-evolutionary optimization algorithm based on cloud model (CECD) is proposed in this paper. It introduces the concept of co-evolution in biological systems into intelligent computing. The proposed algorithm makes cooperation...
In order to solve the problems of low efficiency and premature convergence, an improved constriction factor particle swarm optimization algorithm, abbreviated to ICFPSO, was proposed in this paper. Position and speed factors were introduced as two new parameters to judge the stagnation of particles. For each individual, when the distance between its position and the current global optimum was less...
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