Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®
Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®
复制标题
使用 MATLAB®/SIMULINK® 解决优化问题的计算智能范式
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
S. P
中科院分区：
文献类型：
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作者：
S. Sumathi;L. Kumar;S. P
计算智能被认为是最具创新性的研究方向之一，它包含了使用全局搜索优化、机器学习、近似推理和连接论系统来在多个决策变量、复杂约束和动荡环境中开发高效、健壮和易于使用的解决方案的技术。CI技术涉及用于智能应用的学习、适应和进化的组合。基于MatLab/Simulink的优化问题计算智能范式探讨了计算智能范式在知识表示、适应性、最优性和处理不同现实世界优化问题的速度方面的性能。这本书聚焦于CI技术的实际实施，讨论了CI范例在工程应用中的作用，如机组组合和经济负荷分配、谐波减少、负载频率控制和自动电压调节、作业车间调度、多站点车辆路径和数字图像水印解释CI对电力系统、控制系统、工业自动化和图像处理的影响通过上述应用程序展示如何使用MatLab m文件和Simulink模型将CI算法应用于基于约束的优化问题，包括测试系统的实验分析和结果使用MATLAB/Simulink的计算智能范例优化问题为行业专业人员和高级本科生、研究生和研究型学生提供了有价值的参考。
Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB/ Simulink explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems. Focusing on the practical implementation of CI techniques, this book: Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB m-files and Simulink models Includes experimental analyses and results of test systems Computational Intelligence Paradigms for Optimization Problems Using MATLAB/ Simulink provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.