The 2003 Congress on Evolutionary Computation, 2003. CEC '03.最新文献

Searching oligo sets of human chromosome 12 using evolutionary strategies 利用进化策略寻找人类12号染色体的寡集

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2004-10-20 DOI: 10.1109/CEC.2003.1299817

Yen-Yen Joe, Arthur Tay, Zhao Yang Dong, H. Ng, Huan Xu

引用次数: 0

A nonlinear control system design based on HJB/HJI/FBI equations via differential genetic programming approach 基于HJB/HJI/FBI方程的非线性控制系统的微分遗传规划设计

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2004-09-02 DOI: 10.1109/CEC.2003.1299744

J. Imae, Y. Kikuchi, N. Ohtsuki, T. Kobayashi

引用次数: 0

Particle swarm optimizers for Pareto optimization with enhanced archiving techniques 基于增强归档技术的Pareto优化粒子群算法

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-23 DOI: 10.1109/CEC.2003.1299888

T. Bartz-Beielstein, P. Limbourg, J. Mehnen, K. Schmitt, K. Parsopoulos, M. Vrahatis

引用次数: 89

Hybridization of the multi-objective evolutionary algorithms and the gradient-based algorithms 多目标进化算法与梯度算法的融合

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-08 DOI: 10.1109/CEC.2003.1299758

Xiaolin Hu, Zhangcan Huang, Zhongfan Wang

引用次数: 65

Evolved neural networks learning Othello strategies 进化的神经网络学习奥赛罗策略

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-08 DOI: 10.1109/CEC.2003.1299948

S. Y. Chong, D. C. Ku, Heng-Siong Lim, M. K. Tan, Jules White

引用次数: 20

A genetic algorithm approach to full beam configuration inverse planning in coplanar radiotherapy 基于遗传算法的共面放射治疗全光束构型逆规划

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-08 DOI: 10.1109/CEC.2003.1299933

Vitoantonio Bevilacqua, G. Mastronardi, G. Piscopo

{"title":"A genetic algorithm approach to full beam configuration inverse planning in coplanar radiotherapy","authors":"Vitoantonio Bevilacqua, G. Mastronardi, G. Piscopo","doi":"10.1109/CEC.2003.1299933","DOIUrl":"https://doi.org/10.1109/CEC.2003.1299933","url":null,"abstract":"A unified evolutionary approach to coplanar radiotherapy inverse planning is proposed. It consists of a genetic algorithm-based framework that solves with little modification treatment planning for three different kinds of radiation therapy: conformal, so-called aperture-based and intensity modulated. Thanks to evolutionary optimisation techniques we have been able to search for full beam configurations, that is, beam intensity, beam shape and especially beam orientation. Unlike some previous works found in literature, our proposed solution automatically determines exact beam angles not relaying solely on a geometrical basis but involving beam intensity profiles, thus considering the effective delivered dose. Our dose distribution model has been validated through comparison with commercial system: fixed the same beam configuration, both calculated beam shapes and the DVH have been compared. Then we have tested the optimisation algorithm with real clinical cases: these involved both simple (convex target, far OARs) and complex (concave target, close OARs) ones. As stated by physician and by simulation with the same commercial system, our tools found good solutions in both cases using corresponding correct therapy.","PeriodicalId":416243,"journal":{"name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117180608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Virtual Stylist project - examination of adapting clothing search system to user's subjectivity with interactive genetic algorithms 虚拟造型师项目——利用交互式遗传算法使服装搜索系统适应用户主体性的研究

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-08 DOI: 10.1109/CEC.2003.1299782

Masataka Tokumaru, N. Muranaka, S. Imanishi

{"title":"Virtual Stylist project - examination of adapting clothing search system to user's subjectivity with interactive genetic algorithms","authors":"Masataka Tokumaru, N. Muranaka, S. Imanishi","doi":"10.1109/CEC.2003.1299782","DOIUrl":"https://doi.org/10.1109/CEC.2003.1299782","url":null,"abstract":"In this paper, we propose a system named \"Virtual Stylist\", which aims to help users find out their favorite clothes, which might fit them well. The system is composed of 3 parts as follows, 1) searching clothes in consideration of their color scheme harmonies and image sensations, 2) adopting rules for evaluating color scheme image sensations to a specific user's feeling of color images, 3) virtual fitting system. The system searches through clothes database for some clothes on the basis of the harmony and sensation of colors that are used in them. In the case that a user require a jacket and pants which she might wear with her own shirt, the system search for some jacket and pants whose colors are in harmony with the color of her shirt and with which the color scheme image sensation seems to fit her imagination of dressing. The system possesses some function so that the rules for evaluating color image sensations, which are controlled by some simple parameters are automatically changed and adjusted to the user's emotion. We achieved a way in which the system is real-time adapted to a user's subjectivity with interactive genetic algorithms.","PeriodicalId":416243,"journal":{"name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121013519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Comparing PSO structures to learn the game of checkers from zero knowledge 比较粒子群结构从零知识学习跳棋游戏

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-08 DOI: 10.1109/CEC.2003.1299580

N. Franken, A. Engelbrecht

引用次数: 53

Evolving Turing Complete representations 进化图灵完全表示

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-08 DOI: 10.1109/CEC.2003.1299753

J. Woodward

{"title":"Evolving Turing Complete representations","authors":"J. Woodward","doi":"10.1109/CEC.2003.1299753","DOIUrl":"https://doi.org/10.1109/CEC.2003.1299753","url":null,"abstract":"Standard GP, chiefly concerned with evolving functions, which are mappings from inputs to output, is not Turing Complete. We raise issues resulting from attempts at extending standard GP to Turing Complete representations. Firstly, there is a problem when a contiguous piece of code is moved to a new location (in a different program) by crossover. In general its functionality will be altered if global memory is used, as other parts of the program may access the same piece of memory. Secondly, traditional crossover does not respect modules. Crossover can disrupt a group of instructions that were working together (e.g. in the body of a loop) in one parent, but end up separated in two different offspring after reproduction. A crossover operator is proposed that only operates at the boundaries of modules. The identification of module boundaries is made easy by using a representation in which explicit modules are denned, in contrast with other representations where the module boundaries would have to be identified by some other means. The halting problem is a central issue, however as a consequence of this crossover operator we are more likely to produce self terminating programs, thus saving time when testing.","PeriodicalId":416243,"journal":{"name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127174601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 31

Optimization model for opportunistic replacement policy using genetic algorithm with fuzzy logic controller 基于模糊逻辑控制器的遗传算法的机会置换策略优化模型

The 2003 Congress on Evolutionary Computation, 2003. CEC '03. Pub Date : 2003-12-08 DOI: 10.1109/CEC.2003.1299448

S. Haque, A. Kabir, R. Sarker

引用次数: 10