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检索条件"主题词=EVOLUTIONARY PROGRAMMING"

共 651 条记录，以下是501-510 订阅

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Bilevel Multi-objective Optimization Problem Solving Using Progressively Interactive EMO

Bilevel Multi-objective Optimization Problem Solving Using P...

引用

6th International Conference on evolutionary Multi-Criterion Optimization

作者： Sinha, Ankur Aalto Univ Sch Econ Dept Business Technol FIN-00076 Helsinki Finland

ISBN: (纸本)9783642198922

Bilevel multi-objective optimization problems are known to be highly complex optimization tasks which require every feasible upper-level solution to satisfy optimality of a lower-level optimization problem. Multi-objective bilevel problems are commonly found in practice and high computation cost needed to solve such problems motivates to use multi-criterion decision making ideas to efficiently handle such problems. Multi-objective bilevel problems have been previously handled using an evolutionary multi-objective optimization (EMO) algorithm where the entire Pareto set is produced. In order to save the computational expense, a progressively interactive EMO for bilevel problems has been presented where preference information from the decision maker at the upper level of the bilevel problem is used to guide the algorithm towards the most preferred solution (a single solution point). The procedure has been evaluated on a set of five DS test problems suggested by Deb and Sinha. A comparison for the number of function evaluations has been done with a recently suggested Hybrid Bilevel evolutionary Multi-objective Optimization algorithm which produces the entire upper level Pareto-front for a bilevel problem.

关键词： Genetic algorithms evolutionary algorithms bilevel optimization multi-objective optimization evolutionary programming multi-criteria decision making hybrid evolutionary algorithms sequential quadratic programming

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Hybrid evolutionary Particle Swarm Optimization for the Coordination of Wind and Thermal Generation dispatch

Hybrid Evolutionary Particle Swarm Optimization for the Coor...

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1st International Conference on Advancements in Automation and Control (ICAAC)

作者： Dhayalini, K. Sathiyamoorthy, S. Rajan, Christober Asir C. Anna Univ Dept EEE Madras 600025 Tamil Nadu India JJ Coll Engn & Technol Tiruchirappalli India Pondicherry Engn Coll Dept EEE Pondicherry India

ISBN: (纸本)9783038351245

Development of better wind and thermal coordination dispatch is necessary to determine the optimal dispatch scheme that can integrate wind power reliably and efficiently. In this paper hybrid evolutionary programming (EP) and Particle Swarm Optimization(PSO) approach is utilized to coordinate the wind and thermal generation dispatch and to minimize the total production cost considering wind power generation and valve effect of thermal units. Numerical studies have been performed for three different test systems, i.e., six, thirteen and forty generating unit systems. The simulation results demonstrate the effectiveness of the proposed approach and shows the effect of wind power generation in reducing the total fuel.

关键词： evolutionary programming Wind and Thermal Generation Dispatch Particle Swarm Optimization Fuel cost

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A Wire Antenna for Broadband WLAN and Wi-Fi Applications

A Wire Antenna for Broadband WLAN and Wi-Fi Applications

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9th International Wireless Communications and Mobile Computing Conference (IWCMC)

作者： Fanti, Alessandro Maxia, Paolo Musu, Claudia Univ Cagliari Dipartimento Ingn Elettr & Elettron Cagliari Italy

ISBN: (纸本)9781467324809

This paper presents a wire antenna for multi-band WLAN application, designed using the Structure-Based evolutionary programming, and having a very simple geometry. The antenna has been analysed with NEC-2 during the evolutionary process, and the outcome of the procedure shows a very good performance, with a -10dB bandwidth that covers the required frequencies for multi-band WLAN applications (2.4/5.2/5.8 GHz) and beyond, and an end-fire gain greater than 11 dB.

关键词： Wire Antennas evolutionary programming Wide Band Antennas

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A Protein Structure Prediction Program Architecture Based on a Software Transactional Memory 19

A Protein Structure Prediction Program Architecture Based on...

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6th Conference on the Engineering of Computer Based Systems (ECBS)

作者： Kordic, Branislav Popovic, Marko Popovic, Miroslav Goldstein, Moshe Amitay, Moshe Dayan, David Univ Novi Sad Fac Tech Sci Trg Dositeja Obradovica 6 Novi Sad Serbia Jerusalem Coll Technol Dept Comp Sci IL-9372115 Jerusalem Israel Jerusalem Coll Technol Dept Bioinformat IL-9372115 Jerusalem Israel

ISBN: (纸本)9781450376365

As an alternative for traditional lock-based synchronization mechanisms Software Transactional Memories (STMs) are dominantly evaluated on synthetic benchmarks and simplified applications rather than on real-world applications. So far, only a few notable examples for C++ and JAVA languages have been published. In this paper, an STM-based architecture of a Protein Structure Prediction (PSP) program for the Python language is presented. This STM-based architecture aims both, to enhance the existing barrier-based process synchronization implemented in the original version of that PSP program, and to provide the transactional-memory-based means for its future upgrade. The analysis of the performance metrics, such as the system execution time and the system scalability, is given too. The PSP program used here is DEEPSAM (Diffusion Equation evolutionary programming Simulated Annealing Method) which is implemented in the Python and Fortran programing languages. The key component which supports transactional execution is our PSTM (Python Software Transactional Memory) Python framework. The experimental results are evaluated against two peptides, namely enkephalin and 2mq5. The preliminary results show that the new PSTM-based version of DEEPSAM has comparable execution time relative to the original version, and that its architecture scales very well. Also, the results of this study did not reveal any architectural bottleneck. Considering that the original version of DEEPSAM already execute computation in parallel, gaining significant improvements regarding execution times was not expected. In order to comprehend PSTM's impact on a complex package such as DEEPSAM, regarding execution times, it must be run on a many-core processor capable of running dozens processes in parallel.

关键词： Software Transactional Memory Python DEEPSAM PSTM evolutionary programming

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Research on Hierarchical Genetic Algorithm Optimized Based on Fuzzy Neural Network 1

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International Conference on Applied Informatics and Communication (ICAIC 2011)

作者： Hao, Yuan Ren, Zhaohui Wang, Bingcheng Northeastern Univ Sch Mech Engn & Automat Shenyang 110004 Liaoning Provin Peoples R China Shenzhen Univ Sch Mech Engn Shenzhen 518040 Peoples R China

ISBN: (数字)9783642232206

ISBN: (纸本)9783642232190

A new algorithm of fuzzy neural network learning is presented. It is based on combining genetic algorithm of hierarchical structure with evolution programming. This algorithm is used to optimize the structure and parameters of fuzzy neural network, reject redundant nodes and redundancy connections, and improve the treatment ability of the network. The results of analysis and experiment show that, by using this method the fuzzy neural network of mechanical fault diagnosis has good concise structure and diagnosis effect.

关键词： Fuzzy neural network Hierarchical genetic algorithm evolutionary programming

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On simplifying the automatic design of a fuzzy logic controller

On simplifying the automatic design of a fuzzy logic control...

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Annual Meeting of the North-American-Fuzzy-Information-Processing-Society

作者： Cheong, F Lai, R RMIT Univ Sch Business IT Melbourne Vic 3000 Australia

ISBN: (纸本)0780374614

With the availability of a wide range of evolutionary Algorithms such as Genetic Algorithms, evolutionary programming, Evolution Strategies and Differential Evolution, every conceivable aspect of the design of a fuzzy logic controller has been optimized and automated. Although there is no doubt that these automated techniques can produce an optimal fuzzy logic controller, the structure of such a controller is often obscure and in many cases these optimizations are simply not needed. We believe that the automatic design of a fuzzy logic controller can be simplified by using a generic rule base such as the Mac Vicar-Whelan rule base and using an evolutionary algorithm to optimize only the membership functions of the fuzzy sets. Furthermore, by restricting the overlapping of fuzzy sets, using triangular membership functions and singletons, and reducing the number of parameters to represent the membership functions, the design can be further simplified. This paper describes this method of simplifying the design and some experiments performed to ascertain its validity.

关键词： evolutionary algorithms evolutionary programming fuzzy logic controller fuzzy systems

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Performance Analysis and Comparison on Heterogeneous and Homogeneous Multi-agent Societies in Correlation to their Average Capabilities 57

Performance Analysis and Comparison on Heterogeneous and Hom...

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57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)

作者： Georgiev, Milen Tanev, Ivan Shimohara, Katsunori Doshisha Univ Grad Sch Sci & Engn 1-3 Tatara Miyakodani Kyotanabe Kyoto 6100321 Japan

ISBN: (纸本)9784907764609

The purpose of this research is to investigate the performance of heterogeneous multi-agent systems of agents in comparison to morphologically identical homogeneous systems, pertaining the same average physical and sensory abilities for the system as a whole. We will be using a form of the well-known predator-prey pursuit problem to measure the efficiency of each of the systems in both speed of evolution of the exhibited behavior and robustness of the programmatically generated solutions.

关键词： multi-agent systems predator-prey pursuit problem evolutionary programming heterogeneous and homogeneous system performance comparison and analysis

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Hybrid evolutionary Algorithm for Solving Global Optimization Problems

Hybrid Evolutionary Algorithm for Solving Global Optimizatio...

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4th International Workshop on Hybrid Artificial Intelligence Systems

作者： Thangaraj, Radha Pant, Millie Abraham, Ajith Badr, Youakim Indian Inst Technol Roorkee Dept Paper Technol Roorkee Uttar Pradesh India INSA Lyon Natl Inst Appl Sci Lyon Villeurbanne France

ISBN: (纸本)9783642023187

Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked as one of the best search algorithm for solving global optimization problems in several case studies. This paper presents a simple and modified hybridized Differential Evolution algorithm for solving global optimization problems. The proposed algorithm is a hybrid of Differential Evolution (DE) and evolutionary programming (EP). Based on the generation of initial population, three versions are proposed. Besides using the uniform distribution (U-MDE), the Gaussian distribution (G-MDE) and Sobol sequence (S-MDE) are also used for generating the initial population. Empirical results show that the proposed versions are quite competent for solving the considered test functions.

关键词： Hybrid Algorithm Differential Evolution evolutionary programming Global Optimization

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An evolutionary multi-agent system for simulating e-commerce markets

An evolutionary multi-agent system for simulating e-commerce...

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Enterprise Networking, Applications and Services Conference

作者： Ribeiro, NV Gamboa, H Escola Super Tecnol Setubal P-2914508 Setubal Portugal

ISBN: (纸本)0780373421

This paper describes a multi-agent system used for simulating a generic e-trading market. The simulated market is imagined to be on the Internet. Four different types of agents are used in our system: clients, producers, distributors and mediators - for clients and producers. The simulation starts with an initially given market which evolves under various assumptions about mediators. Mediation services support the following aspects: brokerage, billing, delivery and connectivity. Each mediator has a profile based on its degree of greediness, effort and speed. The evolution of the system is controlled by the individual fitness of the mediator agents. Those that profit from their negotiations stay alive, while others die. The most successful mediators are cloned and populate the system. Thus, the system evolution helps with identifying the appropriate mediator profiles. Internal implementation choices are discussed and analyzed. Results from an experiment using a typical market scenario are presented to illustrate the system in use.

关键词： mobile agents software agents electronic commerce evolutionary programming

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The Model of evolutionary Interleavers for IDMA Communication System

The Model of Evolutionary Interleavers for IDMA Communicatio...

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3rd International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2007)

作者： Xu, Xinyi Zhu, Qiuping Zhu, Liang Wang, Weibing Liu, Kegang Wuhan Univ Sch Elect Informat Wuhan Hubei Peoples R China

ISBN: (纸本)9781424413119

This paper presents the model of interleavers for the Interleave-Division Multiple-Access (IDMA) based on evolutionary algorithm. In all the previous works, interleavers are all generated independently and randomly which is simple but with good performance. Considered the difference between the model of interleavers;and the traveling salesman problem(TSP), a specific fitness function based on covariance matrix is given and the optimum interleavers are computed by evolutionary algorithm. The simulation results show that the bit error ratio(BER) performance of the evolutionary interleavers(EI) is much better than other unrandom interleavers. The BER performance of independent and random interleavers is near to El, it is a proof that El is the theoretical optimum interleavers for IDMA.

关键词： evolutionary programming Traveling salesman problem Interleave-Division Multiple-Access

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