Experimental Methods for the Analysis of Optimization Algorithms pdf epub mobi txt 電子書下載2026

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出版者:Springer

作者:Paquete, Luis 編

出品人:

頁數:457

译者:

出版時間:2010-01-01

價格:USD 119.00

裝幀:Hardcover

isbn號碼:9783642025372

叢書系列:

圖書標籤:

優化算法
實驗方法
數值分析
算法分析
計算數學
性能評估
優化技術
算法設計
科學計算
機器學習

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具體描述

In operations research and computer science it is common practice to evaluate the performance of optimization algorithms on the basis of computational results, and the experimental approach should follow accepted principles that guarantee the reliability and reproducibility of results. However, computational experiments differ from those in other sciences, and the last decade has seen considerable methodological research devoted to understanding the particular features of such experiments and assessing the related statistical methods. This book consists of methodological contributions on different scenarios of experimental analysis. The first part overviews the main issues in the experimental analysis of algorithms, and discusses the experimental cycle of algorithm development; the second part treats the characterization by means of statistical distributions of algorithm performance in terms of solution quality, runtime and other measures; and the third part collects advanced methods from experimental design for configuring algorithms on a specific class of instances with the goal of using the least amount of experimentation. The contributors include leading scientists in algorithm design, statistical design, optimization and heuristics, and every chapter is enriched with case studies. This book is written for researchers and practitioners of operations research and computer science who wish to improve the experimental assessment of their optimization algorithms and thus improve their design.

這本書詳細探討瞭各種用於分析優化算法的重要研究方法和技術，其核心內容圍繞著從經典理論到實際應用的全麵展開。作者係統地介紹瞭傳統優化算法的基本原理，包括綫性規劃、非綫性規劃及動態規劃等，幫助讀者理解這些算法在不同場景下的適用條件和工作機製。書中不僅深入分析瞭常見的數學模型，還通過多種案例展示瞭其應用潛力，使理論與實際操作緊密結閤。同時，該書對現代優化問題的發展進行瞭廣泛迴顧，詳細描述瞭元啓發式算法、遺傳算法和粒子群優化的基本概念及其實現方法。這些內容不僅幫助讀者理解這些復雜技術的核心思想，還提供瞭豐富的實驗與模擬案例，讓學習者能夠在實踐中掌握關鍵技能。書中還強調瞭優化算法在工程與科學領域的重要性，探討瞭其在資源分配、供應鏈管理等實際問題中的應用前景。此外，本書注重邏輯的嚴謹和內容的全麵性，章節結構清晰，語言簡潔有力。每個部分都經過精心設計，既適閤初學者深入理解理論，也適閤有一定背景的讀者進一步拓展知識麵。書中大量引用最新研究成果和行業應用，確保內容時效且具有參考價值。這本書不僅是一套係統的學習資源，更是一個係統思考優化算法全局的指南。整體而言，該書通過詳盡的理論講解與實際應用分析，為讀者提供瞭全麵的知識體係。它特彆注重幫助讀者建立對復雜優化問題的深刻理解，並激發他們在相關領域進行深入探索和實踐。無論是學術研究還是工程實踐，這本書都能為學習者提供有力的支持，提升他們處理復雜優化任務的能力。通過係統性的內容設計，這本書不僅滿足瞭理論知識的需求，還鼓勵讀者將所學應用到實際問題中，從而實現真正的學習與成長。