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Latest trends in communication and consumer electronics target the development of fully adaptive systems on mixed signal systems-on-chip. This paper proposes an evolutionary approach to adaptive filter design. The hardware support of the evolutionary design algorithm is a field programmable analog array (FPAA). The FPAA has been implemented with OTA-C techniques. The synthesis algorithm has been developed...
In multimodal optimization, maintaining population diversity is one of the most critical issues in genetic algorithm design. A number of niching techniques have been developed and successfully applied to cope with this problem. For multi-population based parallel genetic algorithms, nevertheless, these approaches are obviously inapplicable, since it is very difficult to obtain global information about...
This article presents a novel optimization technique hybridizing the concepts of Genetic Algorithm (GA) and Lbest Particle Swarm Optimization (Lbest PSO). A new topology, namely ‘Dynamically Varying Sub-swarm’ has been incorporated in the search process and some selected crossover and mutation techniques have been used for generation updating. This novel hybridized approach simultaneously ensures...
In this paper, we address the problem of an efficient mapping of intellectual property (IP) cores onto a multiprocessor system-on-chip (MPSoC). The MPSoC is statically scalable in terms of number of IP cores and an 1-ary n-mesh network-on-chip (NoC). The approach places more affine IP cores closer to each other and affinity is based on an amount of exchanged communication and administration data....
A phylogenetic tree represents the evolutionary relationships among biological species. Although parallel computation is essential for the phylogenetic tree searches, it is not easy to maintain the diversity of population in a parallel genetic algorithm. In this paper, we design a new asynchronous parallel genetic algorithm for tree optimization which maintain the diversity of population without any...
Topological optimization tool using genetic algorithm as optimization algorithm are known as very expensive in computation time. In this paper, we study an approach to improve performance of topological optimization tool by introducing a dynamic variation of the population size of children during the process of optimization. This method allows to improve performance of each generation by adapting...
In this paper, a genetic algorithm is employed to plan the medium and long term expansion of electric power distribution systems. The expansion planning task is modeled as a single-objective optimization problem in which the objective function is the monetary cost of the network. A new procedure is proposed to perform substation location jointly with network topology design. Such a procedure is performed...
Filters are important building blocks in signal processing circuits. Some researcher had successfully utilized genetic algorithm (GA) in design of filters. Nevertheless, filters obtained by GA are always complex and require lengthy computations. Ant colony optimization (ACO) is a novel searching technique used in optimization problems. In this paper, an ACO approach for optimization of analog filters...
Parallel Genetic Algorithm (PGA) is used in many practical global optimizations to achieve high speed in convergence. The Island Model Parallel Genetic Algorithm (IMPGA) is very useful. Genetic Algorithms are one of the most powerful search and optimization method when we must solvecomplex and time consuming problems. IMPGA are more flexible than other PGA methods. There are several variables in the...
Optical packet switching (OPS), a promising technology for small, high-capacity networks such as metro or regional networks, leverages optical transparency to decrease the number of interfaces to be deployed and the energy consumption of a network when compared with an opaque technology. Based on those principles, ring-based OPS techniques such as POADM (Packet Optical Add-Drop Multiplexers) were...
A key problem in current optical telecommunication networks is that of virtual topology design, where a set of optical connections (or lightpaths) are established between network nodes in order to accommodate traffic demands. Those virtual topologies are designed with the aim of optimizing a set of network parameters while complying with quality of transmission requirements. In this paper, we show...
This paper demonstrates the advantages of using cognition when solving impairment-aware virtual topology design problems. Two new multiobjective cognitive genetic algorithms are presented and a performance comparison between them and a non-cognitive method is shown.
Currently, most of the acoustic model selection work is done empirically or heuristically or even arbitrarily. In this paper, Genetic Algorithm (GA) based and Particle Swarm Optimization (PSO) based algorithms that consider the number of states and the kernel numbers for the states simultaneously and reject the uniform allocation of Gaussian kernels are proposed to automatically optimize acoustic...
Node placement problems have been long investigated in the optimization field due to numerous applications in location science and classification. Facility location problems are showing their usefulness to communication networks, and more especially from Wireless Mesh Networks (WMNs)field. Recently, such problems are showing their usefulness to communication networks, where facilities could be servers...
Wireless Mesh Networks (WMNs) are currently attracting a lot of attention from wireless research and technology community due to their importance as means for providing cost-efficient broadband wireless connectivity. WMNs are based on mesh topology, in which every node is connected to one or more nodes, enabling thus the information transmission in more than one path. In this paper, we deal with the...
With the emergence of wireless networking paradigm, several optimization problems are showing their usefulness to the efficient design of such networks. These problem are related, among others, to optimizing network connectivity, coverage and stability. The resolution of these problems turns out to be crucial for optimized network performance. In the case of Wireless Mesh Networks (WMN), such problems...
In a wireless sensor network (WSN), sensor nodes report sensed events to a sink node/base station, which is a data collector. Because sensors have limited power, energy should be efficiently conserved to extend the WSN's lifetime. Therefore, multiple sinks can be deployed to shorten the communication distance between sensors and sinks. In this paper, we propose a heuristic based approach to bind sensors...
This paper presents an efficient method for the reconfiguration of radial distribution systems for minimization of real power loss using adapted ant colony optimization. The conventional ant colony optimization is adapted by graph theory to always create feasible radial topologies during the whole evolutionary process. This avoids tedious mesh check and hence reduces the computational burden. The...
The performance (such as throughput) of wireless mesh networks (WMNs) are affected by many factors such as routing protocols and interferences. To improve the throughput, several studies have proposed efficient routing protocols to find better paths and new link state metrics to accurately represent the wireless link qualities. Most of these works assume that the locations of the mesh routers are...
Owing to the weak local searching power and slow iteration in the Genetic Algorithm, some strategies such as optimum individual conservation, infeasible individual transformation and local hesitation strategies are used to improve the Genetic Algorithm. when structure shape optimization design of mixed discrete variables is conducted, if the shape variables are continuous and the cross-section variables...
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