To conquer the scalability issue of evolvable hardware, this paper proposes a multi-virtual reconfigurable circuit (VRC) cores-based evolvable system to evolve combinational logic circuits in parallel. The basic idea ...
详细信息
ISBN:
(纸本)9783540746256
To conquer the scalability issue of evolvable hardware, this paper proposes a multi-virtual reconfigurable circuit (VRC) cores-based evolvable system to evolve combinational logic circuits in parallel. The basic idea behind the proposed scheme is to divide a combinational logic circuit into several subcircuits, and each of them is evolved independently as a subcomponent by its corresponding VRC core. The virtual reconfigurable circuit architecture is designed for implementing real-world applications of evolvable hardware (EHW) in common FPGAs. In our approach, all the VRC cores are realized in a Xilinx Virtex xcv2000E FPGA as an evolvable system to achieve parallel evolution. The proposed method is evaluated on the evolutions of 3-bit multiplier and adder and compared to direct evolution and incremental evolution in the terms of computational effort and hardware implementation cost.
Cellular network design is a major issue in second generation GSM mobile telecommunication systems. In this paper, a new model of the problem in its full practical complexity, based on multiobjective constrained combi...
详细信息
Cellular network design is a major issue in second generation GSM mobile telecommunication systems. In this paper, a new model of the problem in its full practical complexity, based on multiobjective constrained combinatorial optimization, has been used. We propose an evolutionaryalgorithm that aims at approximating the Pareto frontier of the problem, which removes the need for a cellular network designer to rank or weight objectives a priori. Specific coding scheme and genetic operators have been designed. Advanced intensification and diversification search techniques, such as elitism and adaptive sharing, have been used. Three complementary hierarchical parallel models have been designed to improve the solution quality and robustness, to speed-up the search and to solve large instances of the problem. The obtained Pareto fronts and speed-ups on different parallel architectures show the efficiency and the scalability of the parallel model. Performance evaluation of the algorithm has been carried out on different realistic benchmarks. The obtained results show the impact of the proposed parallel models and the introduced search mechanisms. (c) 2005 Elsevier Inc. All rights reserved.
In this article, evolutionaryalgorithms (EAs) are applied to solve the radio network design problem (RND). The task is to find the best set of transmitter locations in order to cover a given geographical region at an...
详细信息
In this article, evolutionaryalgorithms (EAs) are applied to solve the radio network design problem (RND). The task is to find the best set of transmitter locations in order to cover a given geographical region at an optimal cost. Usually, parallel EAs are needed to cope with the high computational requirements of such a problem. Here, we develop and evaluate a set of sequential and parallel genetic algorithms (GAs) to solve the RND problem efficiently. The results show that our distributed steady state CA is an efficient and accurate tool for solving RND that even outperforms existing parallel solutions. The sequential algorithm performs very efficiently from a numerical point of view, although the distributed version is much faster.
We introduce a new parallel evolutionary algorithm in modeling dynamic systems by nonlinear higher-order ordinary differential equations (NHODEs). The NHODEs models are much more universal than the traditional linear ...
详细信息
We introduce a new parallel evolutionary algorithm in modeling dynamic systems by nonlinear higher-order ordinary differential equations (NHODEs). The NHODEs models are much more universal than the traditional linear models. In order to accelerate the modeling process, we propose and realize a parallel evolutionary algorithm using distributed CORBA object on the heterogeneous networking. Some numerical experiments show that the new algorithm is feasible and efficient.
暂无评论