《工程優(yōu)化》是一份跨學(xué)科的工程雜志，服務(wù)于大型技術(shù)社區(qū)，關(guān)注定量計(jì)算優(yōu)化方法及其在工程規(guī)劃、設(shè)計(jì)、制造和操作過(guò)程中的應(yīng)用。該期刊的政策將優(yōu)化視為任何形式的數(shù)值過(guò)程的改進(jìn)。算法數(shù)值優(yōu)化因此主流期刊,但同樣歡迎論文運(yùn)用運(yùn)籌學(xué)的方法,決策支持,統(tǒng)計(jì)決策理論、系統(tǒng)理論、邏輯推理、知識(shí)系統(tǒng)、人工智能、信息論和處理,所有的方法都可以用于決策過(guò)程的定量模型。優(yōu)化創(chuàng)新是所有論文的基本屬性，但工程適用性同樣重要。工程優(yōu)化旨在涵蓋工程領(lǐng)域的所有學(xué)科，但其主要關(guān)注領(lǐng)域是環(huán)境、土木、機(jī)械、航空航天和制造工程。歡迎有關(guān)研究方面和實(shí)際工業(yè)實(shí)施的論文。所有提交的稿件都要經(jīng)過(guò)編輯的初步評(píng)估，如果發(fā)現(xiàn)適合進(jìn)一步考慮，還要經(jīng)過(guò)獨(dú)立的、匿名的專家評(píng)審。所有的同行評(píng)審都是單盲的，通過(guò)ScholarOne手稿在線提交。

Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized numerical process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process.Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital. Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering. Papers on both research aspects and practical industrial implementations are welcomed.All submitted manuscripts are subject to initial appraisal by the Editors, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is single blind and submission is online via ScholarOne Manuscripts.