Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm (vol 29, pg 319, 2017)

Hinojosa Salvador; Oliva Diego; Cuevas Erik; Pajares Gonzalo; Avalos Omar; Galvez Jorge

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Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm (vol 29, pg 319, 2017)

机译：用混沌改善多标准优化：一种新型多目标混沌乌鸦搜索算法（Vol 29，PG 319,2017）

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In the original publication, Algorithm 1 and Algorithm 2 are incorrectly published with the same content.

机译：在原始出版物中，算法1和算法2的内容不正确地发布。

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来源
《Neural computing & applications》 |2018年第8期|共1页
作者
Hinojosa Salvador; Oliva Diego; Cuevas Erik; Pajares Gonzalo; Avalos Omar; Galvez Jorge;
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作者单位

Univ Complutense Madrid Fac Informat Dpto Ingn Software &

Inteligencia Artificial E-28040 Madrid Spain;

Univ Guadalajara Div Elect &

Computac CUCEI Ave Revoluc 1500 Guadalajara Jalisco Mexico;

Univ Guadalajara Div Elect &

Computac CUCEI Ave Revoluc 1500 Guadalajara Jalisco Mexico;

Univ Complutense Madrid Fac Informat Dpto Ingn Software &

Inteligencia Artificial E-28040 Madrid Spain;

Univ Guadalajara Div Elect &

Computac CUCEI Ave Revoluc 1500 Guadalajara Jalisco Mexico;

Univ Guadalajara Div Elect &

Computac CUCEI Ave Revoluc 1500 Guadalajara Jalisco Mexico;

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原文格式 PDF
正文语种 eng
中图分类人工神经网络计算机;人工智能理论;
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1. Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm (vol 29, pg 319, 2017) [J] . Hinojosa Salvador, Oliva Diego, Cuevas Erik, Neural computing & applications . 2018,第8期

机译：用混沌改善多标准优化：一种新型多目标混沌乌鸦搜索算法（Vol 29，PG 319,2017）
2. Multi-objective orthogonal opposition-based crow search algorithm for large-scale multi-objective optimization [J] . Rizk-Allah Rizk M., Hassanien Aboul Ella, Slowik Adam Neural computing & applications . 2020,第17期

机译：基于多目标正交反对的乌鸦搜索算法，用于大规模多目标优化
3. Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems [J] . Soft computing: A fusion of foundations, methodologies and applications . 2020,第3期

机译：基于混沌理论的混合乌布搜索优化算法的特征选择策略和模糊C型算法医学诊断问题
4. An improved multi-objective grey wolf optimization algorithm with dynamic chaos local search mechanism [C] . Wei GU IEEE Joint International Information Technology and Artificial Intelligence Conference . 2020

机译：具有动态混沌本地搜索机制的改进的多目标灰狼优化算法
5. Evolutionary algorithms, chaotic excitations, and structural health monitoring: On global search methods for improved damage detection via tailored inputs [D] . Olson, Colin C. 2008

机译：进化算法，混沌激励和结构健康监测：通过定制输入改进搜索损伤的全局搜索方法
6. A Novel Crow Swarm Optimization Algorithm (CSO) Coupling Particle Swarm Optimization (PSO) and Crow Search Algorithm (CSA) [O] . Ying-Hui Jia, Jun Qiu, Zhuang-Zhuang Ma, 2021

机译：一种新型乌克群优化算法（CSO）耦合粒子群优化（PSO）和乌鸦搜索算法（CSA）
7. Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm [O] . Salvador Hinojosa, Diego Oliva, Erik Cuevas, 2017

机译：校正：提高与混沌的多标准优化：一种新型多目标混沌乌鸦搜索算法

Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm (vol 29, pg 319, 2017)

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