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首页> 外文期刊>International Journal of Swarm Intelligence and Evolutionary Computation >A Short Note on Novel, Original and Innovative Research Results and Findings: Hybrid Optimization Techniques in Manufacturing Environment
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A Short Note on Novel, Original and Innovative Research Results and Findings: Hybrid Optimization Techniques in Manufacturing Environment

机译：关于新颖，新颖和创新性研究结果和发现的简短说明：制造环境中的混合优化技术

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摘要

The growing complexity of real world applications in the areas of engineering, management, computing, economics and science requires powerful optimization centered techniques and approaches. These approaches must be capable of solving difficult problems such as non-linear objective function with constraints optimization as well as uncertainty and incomplete representation and integration. The hybrid optimization approach provides a valuable alternative to traditional methods used in optimization, due to its ability to deal with difficult real world problems including non-linearity, noisy, incomplete or obscured information, constrained resources, and massive processing large amount of data. In these regard, traditional methods based on local optimization and sequential processing often perform poorly.
机译：在工程，管理，计算，经济学和科学领域中，现实世界中应用程序的日益复杂性要求以强大的优化为中心的技术和方法。这些方法必须能够解决困难的问题，例如具有约束优化，不确定性和不完整表示与集成的非线性目标函数。混合优化方法能够处理现实世界中的难题，包括非线性，嘈杂，信息不完整或模糊不清，资源受限以及海量处理大量数据，为优化中的传统方法提供了宝贵的替代方案。在这些方面，基于局部优化和顺序处理的传统方法通常效果不佳。

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