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There has been an increase in the number of domains researching bio-inspired algorithms. The researches conclusions mostly suggest that by taking an example of the processes that work in nature for so long can have its benefits. They proved their performance is greater then the classic approach in most fields. Basically, they were applied to optimize other processes. In this paper we will study and...
This paper proposes that using response surface methodology to solve multiple variables problems, for multiple responses, transforming each response into desirability function and combined them to an overall desirability function, so the multiple responses can be changed into one single function, the overall desirability is solved through intelligent algorithm. At last section, a study case is given...
Ant colony algorithm is a bionic optimization algorithm, it can solve combinatorial problems effectively. For the problem of the test suite reduction, this algorithm could find the balance point between the speed and the accuracy of solution. Unlike other existing algorithms, this algorithm used test cost criteria, as well as the test coverage criteria. Finally, the paper presented the results, the...
In this paper, word-length optimization for a pipelined 8K FFT processor is presented. The processor is based on radix-2/4/8 and mixed radix algorithm, and SDF architecture is used. The internal word-length and data format are important issues when designing pipelined FFT processors, it will affect precision and gate number. To obtain a good solution, three Matlab models for the processor are developed...
Minimizing crosstalk is a major concern in high-speed differential buses design. The power/ground pins are distributed uniformly and the performance of a bus is usually gated by the performance of the worst differential signal in the bus. In this paper, we propose a fast algorithm to generate nearly uniform power/ground distributions by applying force-directed optimization. With each power/ground...
Planning of the mobile robot is one of the core research areas which is complex, binding and non-linear. Ant colony algorithm is an intelligent optimization algorithm developed in recent years. Aiming at the problems of the ant colony algorithm such as slow convergence speed and long computation cycle, in order to improve the efficiency of route planning, proposed using improved ant colony algorithm...
A new simulation analysis algorithms establishing wireless sensor networks communication path based on ant algorithm was proposed. The local optimization problem Occurred in large-scale sensor nodes is solved. The new algorithm has good scalability and dynamic adaptability and is very effective to determiner multi-node wireless sensor network communication processes. The algorithm is feasible through...
In order to meet the updating strategy requirements in the bus systems by WIFI network, the optimized ant colony algorithm is proposed in the updating application of multimedia files in bus system. Firstly, the existing problems of the updating strategy are illustrated and the mathematical model of the updating strategy is established. Then the algorithm is constructed based on the ant colony system...
The k-core of a graph is the largest subgraph in which every vertex is connected to at least k other vertices within the subgraph. Core decomposition finds the k-core of the graph for every possible k. Past studies have shown important applications of core decomposition such as in the study of the properties of large networks (e.g., sustainability, connectivity, centrality, etc.), for solving NP-hard...
ZACA-EEC (Zigbee Ant Colony Algorithm Energy Efficient Cluster) routing protocol is proposed to replace AODV in Zigbee with the aim of increasing reliability for mine equipment monitoring in this paper, which can prolong the lifetime of network remarkably. Taking hydraulic support as an example, the distribution of monitoring nodes can be simplified as chain hierarchy topology, then Free-space model...
It is important to evaluate Building Life Cycle Energy Consumption which is the key problem of building energy-saving. In order to get the global optimization for the whole Building Life Cycle (BLC), the multi-objective optimization model is proposed in this paper. Ant colony algorithm is applied to analyze the BLC and find the minimum of energy consumption. This research will assist the implementation...
Efficient data sorting is important for searching and optimization algorithms in high time demanding fields such as image, multi-media data processing and radar detection. To accelerate the data sorting algorithm applied in practical radar algorithms detection such as OS-CFAR, a novel high-speed parallel sorting scheme based on field programmable gate array (FPGA) is proposed in this paper. It also...
This paper provides the design for two PID controllers, one for the terminal voltage and the other for the electric power. Both controllers are designed to control a sample power system that comprises a synchronous generator connected to a large network via a step-up transformer and a transmission line. The generator is equipped with two decoupled control-loops, namely, the speed/power (governor)...
Hyper-heuristics are new approaches which aim at raising the level of abstraction when solving combinatorial optimisation problems. In this paper we introduce a new hyper-heuristic model, namely Ant-Q hyper-heuristic, which transliterates the significant learning ability of Ant-Q algorithm proposed by Gambardella and Dorigo, for building good sequences of low-level heuristics aimed at gradually constructing...
The DC/AC inverters are the key elements in grid-connected PV energy production systems. In this paper, new design optimization techniques focused on transformerless (very high efficiency) PV inverters are proposed. They have been developed based on an analysis of the deficiencies of the current, state-of-the-art PV inverters design technology, which limits the amount of PV energy supplied into the...
In order to improve the negative effect of increasing transformation cost of pseudo-Boolean Satisfiability algorithm in the routing process, a new routing algorithm was proposed for FPGA, which combined advantages of pseudo-Boolean Satisfiability and geometric routing algorithm. In the routing process, one of geometric routing algorithm-PathFinder was chosen firstly for FPGA routing. If not successful,...
In this paper we will present a new framework for the work flows of distributed integrated systems by assessment of effective factors. This framework which has a higher efficiency compared with other frameworks has been assessed and will be presented within the ERPWKM framework using established phases. The proposed framework compares decision-making processes in various phases and reduces data processing...
The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environment is an important problem in domains such as grid computing. Finding optimal schedules for such an environment is (in general) an NP-hard problem, and so heuristic approaches must be used. The goal of grid task scheduling is to achieve high system throughput and to allocate various computing resources...
After studying the disadvantage of BP neural network which has low convergent speed and trap into local minima easily, an idea of designing a new hybrid neural network model. By using Artificial Bee Colony Algorithm (ABC) to expand the updated space of weight and using the fitness functions to decide the better weight. On the basis, make the acquired better value as the weight of BP neural network...
In this article, a new method to design the flexible-length S-random interleaver is proposed for storage optimization in a turbo coding system. In this method, the high-spread property s-random interleaver is constructed by selecting appropriate position and element that can improve spread property of interleaver in each iteration in which length of interleaver is increased. Using this method, interleavers...
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