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| 1 | A New Dynamical Evolutionary Algorithm Based on Statistical Mechanics显示文摘In this paper, a new dynamical evolutionary algorithm (DEA) is presented basedon the theory of statistical mechanics. The novelty of this kind of dynamical evolutionary algorithmis that all individuals in a population (called particles in a dynamical system) are running andsearching with their population evolving driven by a nev selecting mechanism. This mechanismsimulates the principle of molecular dynamics, which is easy to design and implement. A basictheoretical analysis for the dynamical evolutionary algorithm is given and as a consequence twostopping criteria of the algorithm are derived from the principle of energy minimization and the lawof entropy increasing. In order to verify the effectiveness of the scheme, DEA is applied to solvingsome typical numerical function minimization problems which are poorly solved by traditionalevolutionary algorithms. The experimental results show that DEA is fast and reliable. | 李元香 邹秀芬 康立山 Zbigniew Michalewicz | 2003 | Journal of Computer Science & Technology2003，18，3： | 4 |
| 2 | Efficiency and safety of lamivudine therapy in patients with chronic HBV infection, dialysis or after kidney transplantation显示文摘AIM: To analyze the effectiveness and safety of lamivudine treatment in patients with chronic HBV infection undergoing hemodialysis or after kidney transplantation, and to study the frequency of tyrosine - methionine - aspartate - aspartate (YMDD) mutation occurrence after lamivudine treatment.METHODS: We analyzed 91 patients with chronic hepatitis B, among whom, 16 patients underwent hemodialysis, 7patients had kidney transplantation and 68 patients had normal function of kidney. The hemodialysis patients were treated by lamivudine 300 mg/wk. Patients after kidney transplantation and patients with normal function of kidney were treated with lamivudine 100 mg/d. Therapy lasted for 12 mo. HBV-DNA, HBsAg, HBeAg and anti-HBe, and antiHCV antibodies were assessed in sera of patients. The analysis was performed before and 6 mo after the end of lamivudine treatment. Before, during and after the lamivudine therapy,the number of erythrocytes, leukocytes, platelets and hemoglobin concentration, ALT and AST activity, as well as bilirubin, urea and creatinine concentrations were analyzed in sera from patients.RESULTS: After the 12-mo lamivudine treatment, elimination of HBV - DNA was observed in 56% patients undergoing hemodialysis and in 53% patients with normal kidney function. Only 1 from 7 (14%) kidney-transplanted patients eliminated HBV-DNA. Furthermore, HBeAg elimination was observed in 36% hemodialysis patients, in 51% patients with normal function of kidneys and in 43% kidneytransplanted patients. Among the patients undergoing dialysis, no YMDD mutation was found after 12 mo of therapy, while it was detected in 9 patients (13%) with normal function of kidney and in 2 kidney-transplanted patients (29%, P<0.006). We did not observe significant side effects of lamivudine treatment in studied patients.CONCLUSION: Effectiveness of lamivudine therapy in dialysis patients is comparable with that in patients withnormal function of kidney. Lamivudine treatment is well tolerated and safe in patients with renal insufficiency undergoing hemodialysis and kidney-transplantation.However, in the latter group, high incidence of YMDD mutation after lamivudine treatment was observed. | Tadeusz Wojciech Lapinski Robert Flisiak Jerzy Jaroszewicz Ma3gorzata Michalewicz Oksana Kowalczuk | 2005 | World Journal of Gastroenterology2005，11，3： | 3 |
| 3 | Two Aspects of Evolutionary Algorithms显示文摘In this paper we discuss the paradigm or evolutionary algorithms (EAs). We argue about the need for new heuristics In real-world problem solving, discussing reasons why some problems are difficult to solve. After Introducing the main concepts or evolutionary algorithms, we concentrate on two issues: (1) self-adaptation of the parameters or EA, and (2) handling constraints. | Zbigniew Michalewicz Department of Computer Science, University of North Carolina, Charlotte, NC 28223, USA, and Institute of Computer Science, Polish Academy of Sciences, ul. Ordona 21, 01-237 Warsaw, Poland | 2000 | Wuhan University Journal of Natural Sciences2000，5，4： | 3 |
| 4 | Evolutionary algorithms for constrained parameter optimization problems显示文摘 | Michalewicz Z Schoenauer M | 1996 | Evolutionary Computation1996，4，1： | 1 |
| 5 | Evolutionary Algorithms,Homomorphous Mappings,and Constrained Parameter Optimization显示文摘 | Koziel S Michalewicz Z | 1999 | Evolutionary Compution1999，7，1： | 1 |
| 6 | Evolutionary computation显示文摘 | SCHOENAUER M MICHALEWICZ Z | 1997 | Control and Cybernetics1997，26，3： | 1 |
| 7 | Evolutionary computation: practical issues 显示文摘 | Michalewicz Z | 1995 | IEEE transactions on system man and cybernetics1995，24，1： | 1 |
| 8 | A modified genetic algorithm for optimal control problems 显示文摘 | Zbigniew Michalewicz | 1992 | Conputers Math Application1992，23，12： | 1 |
| 9 | A Modified Genetic Algorithm for Optimal Control Problems显示文摘 | MICHALEWICZ Z | 1992 | Computers math Application(S 0020-7160)1992，23，12： | 1 |
| 10 | A modified genetic algorithms for optimal control problems显示文摘 | MICHALEWICZ Z | 1992 | Computers Math Applic1992，23，12： | 1 |
| 11 | A modified genetic algorithm for optimal control problems显示文摘 | MICHALEWICZ Z JANIKOW C Z KRAWCZYK J B | 1992 | Computers & Mathelnatics with Application1992，23，12： | 1 |
| 12 | Parameter control in evolutionary algorithms显示文摘 | Eiben AE Hinterding R Michalewicz Z | 1999 | IEEE Transactions on Evolutio-naryComputation1999，3，2： | 1 |
| 13 | A genetic algorithm for the linear transportation problem显示文摘 | Vignaux G A Michalewicz Z | 1991 | IEEE Transactions on Systems Man and Cybernetics1991，21，： | 1 |
| 14 | Evolutionary algorthms,homomorphous mappings,and constrained parameter optimization显示文摘 | Slawomir Koziel Zbigniew Michalewicz | 1999 | Evolutionary Computation1999，7，1： | 1 |
| 15 | Evolutionary algorithms,homomorphous mappings,and constrained parameter optimization显示文摘 | Koziel S Michalewicz Z | 1999 | Evolutionary Computation1999，7，1： | 1 |
| 16 | Evolutionary algorithms for constrained parameter optimization problems显示文摘 | MICHALEWICZ Z SCHOENAUER M | 1996 | Evolutionary computioon1996，4，1： | 1 |
| 17 | Evolutionary algo-rithms i homomorphous mapping,and constrainedparameter optimization 显示文摘 | KOZIEL S MICHALEWICZ Z | 1999 | Evolutionary Computa-tion1999，，： | 1 |
| 18 | A modified genetic algorithm for optimal control problems显示文摘 | Michalewicz Z Janikow C Z Krawczyk J B | 1992 | Computers&Mathematics with Applications1992，23，12： | 1 |
| 19 | A Genetic Algorithm for the Linear Transportation Problem显示文摘 | G A Vignaux Z Michalewicz | 1991 | IEEE Transactions on Systems Man and Cybernetics1991，21，2： | 1 |
| 20 | Modelling of a ship trajectory in collision situations at sea by evolutionary algorithm显示文摘 | SMIERZCHALSKI R MICHALEWICZ Z | 2000 | IEEE Transaction on Evolutionary Computation2000，4，3： | 1 |
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