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Efficiently of spectrum allocation is the key for dynamic spectrum access in the Cognitive Radio Network (CRNs). Based on graph coloring model, this paper proposes a random drift particle swarm optimization (RDPSO) algorithm to allocate the spectrum, with the purpose of improving the reward and fairness of network. The RDPSO algorithm introduces the thermal coefficient and drift coefficient, and it...
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...
This paper introduces a modified particle swarm optimization (MPSO) algorithm which gets benefit from all remarkable advantages of conventional PSO (CPSO) in addition to lower possibility of catching in premature convergence and higher accuracy. In this paper, influence of CPSO parameters changes on the output accuracy is firstly represented and studied; then, a modified PSO called MPSO is studied...
Thrust allocation is an important part of the dynamic positioning system, which determining the thrust and the direction of each of the thruster devices from the control law. This paper proposes a rational and effective method of solving thrust allocation to the semi-submersible rig based on the adaptive genetic algorithm. It is realizing the global parallel operations, achieving search in a large...
To solve the problem of grid resource allocation for tasks, an allocation algorithm based on improved particle swarm optimization was proposed. This algorithm leaded the cross operation, variation operation and select operation of the GA to the Particle Swarm Optimization Algorithm, it effectively overcame the inherent flaw of getting local optimal value by particle swarm algorithm and find the global...
The most common way of multi-objective optimizations is assigning a weight to each objective and construct a single fitness function. In this method finding of the appropriate weights is the most important problem. The second method, which is not very well-known for power system researchers, is to optimize the objectives independently. Many optimum answers are achieved instead of a single one. These...
An adaptive resource allocation scheme for QoS oriented OFDMA system, which schedules two different utility functions for the Real-time/Non Real-time traffic simultaneously, is proposed in this paper. Instead of partial consideration of uniform kinds of QoS, we introduce an updating ratio factor to schedule users of heterogeneous traffic. Due to the complex optimization objective, the general convex...
The main aim of this study is managing robot tasks to minimize the deviation between the resource requirements and stated desirable levels. Some improved adaptive methods about step length are proposed in the artificial fish swarm algorithm (AFSA). In this study resource leveling methods are used to solve task scheduling problems in autonomous multi robot group. Robots are considered as resources...
The main aim of this study is managing robot tasks to minimize the deviation between the resource requirements and stated desirable levels. An improved adaptive immune clone selection algorithm (ICSA) is proposed. In this study resource leveling methods are used to solve task scheduling problems in autonomous multi robot group. Robots are considered as resources. The experimental results show that...
This paper presents a method for optimal allocation of distributed generation in distribution systems. In this paper, our aim would be optimal distributed generation allocation for loss reduction in distribution network. Ant colony search algorithm (ACSA) was used as solving tool. ACSA is inspired from the natural behaviour of the ant colonies on how they find the food source and bring them back to...
We propose a novel distributed cross-layer optimization approach for cognitive radio wireless networks. A cognitive radio is a wireless device that is capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance the performance of both the system and potentially the whole network. Given the lack of a centralized intelligence to...
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