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INFOR 2006年第2期44卷 117-127页

作者： Drezner, Tammy Drezner, Zvi Calif State Univ Fullerton Coll Business & Econ Fullerton CA 92834 USA

In this paper we propose to incorporate gender in genetic algorithms. Existing genetic algorithms are gender-neutral. Every genetic algorithm which is gender-neutral can be easily constructed as a gender-specific genetic algorithm. We compared the performance of the gender-neutral and its gender-specific counterpart on four optimization problems and the gender-specific algorithm exhibited superior performance. A statistical analysis allows this conclusion to be stated with 99.5% confidence.

关键词： Comparative studies Genetic algorithms Gender optimization algorithms Markov analysis

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Research on method of the fault diagnosis for digital circuits

Research on method of the fault diagnosis for digital circui...

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Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

作者： Yanli Hou Chunhui Zhao Yanping Liao Shujin Pu College of Information and Communication Engineering Harbin Engineering of Technology Harbin China

ISBN: (纸本)0780393953

Efficient diagnosis of faults in digital circuits requires high quality diagnostic test sets that are generated by effective algorithm. In this work, novel optimization algorithms for diagnostic test generation are proposed that require significantly less time than previous methods. The diagnostic test generation is performed using particle swarm optimization (PSO) or improved PSO, and fault simulator. Experimental results illustrate the effectiveness of the approach. STPG based on improved PSO is generally superior to both GA-based STPG and PSO-based STPG in terms of achieved fault coverage and required CPU time.

关键词： automatic test pattern generation digital integrated circuits fault simulation particle swarm optimisation STPG diagnostic test generation digital circuits fault diagnosis fault simulator improved PSO optimization algorithms particle swarm optimization s

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optimization algorithms for identification inverse problems with the boundary element method

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ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS 2002年第4期26卷 315-327页

作者： Rus, G Gallego, R Univ Granada Dept Struct Mech E-18071 Granada Spain

In this paper the most suitable algorithms for unconstrained optimization now available applied to an identification inverse problem in elasticity using the boundary element method (BEM) are compared, Advantage is taken of the analytical derivative of the whole integral C, equation of the BEM with respect to the variation of the geometry, direct differentiation, which can be used to obtain the gradient of the cost function to be optimized. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： inverse problems optimization algorithms identification of defects analytical derivative sensitivity equations

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Design and optimization of 3-D compact stripline and microstrip Bluetooth/WLAN balun architectures using the design of experiments technique

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IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 2005年第5期53卷 1805-1812页

作者： Staiculescu, D Bushyager, N Obatoyinbo, A Martin, LJ Tentzeris, MM Georgia Inst Technol Sch Elect & Comp Engn Georgia Elect Design Ctr Atlanta GA 30332 USA Hughes Res Labs Malibu CA 90265 USA Motorola Inc Plantation FL 33322 USA

In this paper, various architectures of three-dimensional compact microwave balanced to unbalanced (balun) transformers for Bluetooth/WiFi antenna applications are successfully designed and optimized using the design of experiments (DOE) approach. Two different multilayer topologies, one microstrip and one stripline, are investigated on low temperature co-fired ceramic (LTCC) substrate. The design goals for both baluns are perfectly balanced outputs from 2 to 3 GHz and a resonant frequency of exactly 2.4 GHz. It is demonstrated, using only eight simulations, that perfectly balanced outputs are not possible under the given conditions in the case of the microstrip balun. Nevertheless, the stripline balun can be optimized due to its almost symmetrical structure, and both simulations and measurement results verify the conclusions. The DOE method is very simple to implement and gives a clear understanding of the system behavior at the beginning of the design process, reducing the amount of work required for achieving the design goals by orders of magnitude compared to the widely used trial-and-error approach. The matching and unique measurement issues regarding the calibration, placement of probes and the de-embedding of the microstrip to coplanar waveguide transitions are discussed in detail for the optimized stripline balun. This technique can be easily applied to the fast and efficient optimization of complicated radiation structures, such as reconfigurable or multilayer mutliband antenna arrays.

关键词： coplanar waveguide (CPW) lines design of experiments (DOE) low temperature co-fired ceramic (LTCC) microstrip lines multilayer modules optimization algorithms three-dimensional (3-D) balun WiFi/Bluetooth antennas

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Framework for field optimization to maximize asset value

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SPE RESERVOIR EVALUATION & ENGINEERING 2005年第1期8卷 7-21页

作者： Bailey, WJ Couët, B Wilkinson, D Schlumberger Doll Res Ctr Risk & Optimizat Program Ridgefield CT USA

In this paper, we propose an optimization framework for maximizing asset value, both with and without uncertainty. We first present the methodology to treat a general control optimization in the presence of uncertainty, followed by a brief section on the optimization algorithms used. We then describe the field model example used to illustrate the application of the methodology. Through a systematic analysis of various deterministic and stochastic cases, we address the various objectives sought. Using net present value (NPV) as a measure, we also explore the valuation of advanced completions along with the returns gained from expanding surface gas-handling facilities. The method also generates an efficient frontier that can be used for risk and decision analysis. The results clearly demonstrate the value of such a framework for value maximization in planning both near- and long-term time horizons as well as providing the necessary foundation for maximizing asset value.

关键词： cost accounting Frameworks deterministic Maximize Completion optimization algorithms System analyses Uncertainty Gas surfacing control optimization Decision analysis

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Nonlinear-programming reformulation of the order-value optimization problem

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MATHEMATICAL METHODS OF OPERATIONS RESEARCH 2005年第3期61卷 365-384页

作者： Andreani, R Dunder, C Martínez, JM UNICAMP IMECC Dept Appl Math BR-13081970 Campinas SP Brazil Univ Sao Paulo IME Dept Appl Math BR-05508900 Sao Paulo Brazil

Order-value optimization (OVO) is a generalization of the minimax problem motivated by decision-making problems under uncertainty and by robust estimation. New optimality conditions for this nonsmooth optimization problem are derived. An equivalent mathematical programming problem with equilibrium constraints is deduced. The relation between OVO and this nonlinear-programming reformulation is studied. Particular attention is given to the relation between local minimizers and stationary points of both problems.

关键词： order-value optimization optimality conditions nonlinear-programming equilibrium constraints optimization algorithms

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Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2005年第1期21卷 19-26页

作者： Parashar, M Klie, H Catalyurek, U Kurc, T Bangerth, W Matossian, V Saltz, J Wheeler, MF Rutgers State Univ Dept Elect & Comp Engn TASSL Piscataway NJ 08855 USA Univ Texas CSM ICES Austin TX 78712 USA Univ Texas Inst Geophys Austin TX 78712 USA Ohio State Univ Dept Biomed Informat Columbus OH 43210 USA

This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. The framework implements a dynamic, data-driven approach and enables Grid-based large scale optimization formulations in reservoir modeling. (C) 2004 Elsevier B.V. All rights reserved.

关键词： grid computing optimization algorithms distributed database

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An improved interval global optimization algorithm using higher-order inclusion function forms

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JOURNAL OF GLOBAL optimization 2005年第1期32卷 35-63页

作者： Nataraj, PSV Kotecha, K Indian Inst Technol Syst & Control Engn Grp Bombay 400076 Maharashtra India

We propose an improved algorithm for unconstrained global optimization in the framework of the Moore-Skelboe algorithm of interval analysis (H. Ratschek and J. Rokne, New computer methods for global optimization, Wiley, New York, 1988). The proposed algorithm is an improvement over the one recently proposed in P.S.V. Nataraj and K. Kotecha, (J. Global optimization, 24 (2002) 417). A novel and powerful feature of the proposed algorithm is that it uses a variety of inclusion function forms for the objective function-the simple natural inclusion, the Taylor model (M. Berz and G. Hoffstatter, Reliable Computing, 4 (1998) 83), and the combined Taylor-Bernstein form (P.S.V. Nataraj and K. Kotecha, Reliable Computing, in press). Several improvements are also proposed for the combined Taylor-Bernstein form. The performance of the proposed algorithm is numerically tested and compared with those of existing algorithms on 11 benchmark examples. The results of the tests show the proposed algorithm to be overall considerably superior to the rest, in terms of the various performance metrics chosen for comparison.

关键词： Educated at mainstream school Performance metrics algorithms computer programs optimization algorithms Global optimization

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Adapting evolutionary dynamics of variation for multi-objective optimization

Adapting evolutionary dynamics of variation for multi-object...

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IEEE Congress on Evolutionary Computation

作者： Teoh, EJ Chiam, SC Goh, CK Tan, KC Natl Univ Singapore Dept Elect & Comp Engn Singapore 117576 Singapore

ISBN: (纸本)0780393635

Many real-world applications involve complex optimization problem with various competing specifications and constraints that are often difficult, if not impossible, to be solved without the aid of powerful and efficient optimization algorithms. Although evolutionary algorithms have proven to be successful with respect to the optimization goals of proximity and diversity, their capability is bottlenecked by the evolutionary operators' abilities to deal with the complicated search spaces. Furthermore, it is well known that the algorithm's performances in different problems are sensitive to the parameter setting of the operators. In an effort to adapt the evolutionary search ability along the different regions of the search space, this paper proposes a dynamic variation operator whose parameter value will be deterministically adapted during the algorithm run so as to maintain a balance between the extensive exploration in the early phase and local fine-tuning in the end phase. Comparative studies with some representative variation operators are performed on different benchmark problems to illustrate the effectiveness and efficiency of the proposed operator.

关键词： constraint theory evolutionary computation mathematical operators optimisation search problems constraints dynamic variation operator evolutionary dynamics adaptation evolutionary operators evolutionary search local fine tuning multiobjective optimizatio evolutionary algorithm Mathematical operators Constraint theory tabu search parameter setting fine tuning Benchmark testing optimization algorithms Evolutionary Constraint

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Parallel processing of Powell's optimization algorithm and its application to design of multi-way power dividers

Parallel processing of Powell's optimization algorithm and i...

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Asia-Pacific Microwave Conference

作者： Kishihara, Mitsuyoshi Yamane, Kuniyoshi Ohta, Isao Okayama Prefectural Univ Soja Okayama 7191197 Japan

ISBN: (纸本)078039433X

In the case of optimizing the circuit configurations such as multi-way power dividers, the planar circuit approach is useful because of its merit of short calculation time. However, as the number of design variable increases, the CPU time required in the optimization becomes large. This paper describes a parallel computing technique of Powell's optimization algorithm using a PC-Cluster, and applies to an integration design of microstrip multi-way power dividers. As a result, it is shown that the parallel processing technique can speed up the circuit optimization with facility.

关键词： circuit optimisation microstrip circuits parallel processing power dividers PC-cluster Powell optimization algorithm circuit configuration circuit optimization microstrip design multiway power divider parallel computing technique planar circuit approach Circuit optimization PARALLEL PROCESSING (COMPUTERS) power dividers circuit configuration microstrip circuits design variable overall design optimization algorithms

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