Essentials Of Metaheuristics Second Edition
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Essentials of Metaheuristics Second Edition
Author | : Sean Luke |
Publsiher | : Unknown |
Total Pages | : 242 |
Release | : 2012-12-20 |
Genre | : Algorithms |
ISBN | : 1300549629 |
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Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, NSGA-II, SPEA2, GRASP, Ant Colony Optimization variants, Guided Local Search, LEM, PBIL, UMDA, cGA, BOA, SAMUEL, ZCS, XCS, and XCSF.
Essentials of Metaheuristics
Author | : Sean Luke |
Publsiher | : Unknown |
Total Pages | : 261 |
Release | : 2015 |
Genre | : Electronic Book |
ISBN | : OCLC:1151070241 |
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An Introduction to Metaheuristics for Optimization
Author | : Bastien Chopard,Marco Tomassini |
Publsiher | : Springer |
Total Pages | : 226 |
Release | : 2018-11-02 |
Genre | : Computers |
ISBN | : 9783319930732 |
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The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
Mining Imperfect Data
Author | : Ronald K. Pearson |
Publsiher | : SIAM |
Total Pages | : 581 |
Release | : 2020-09-10 |
Genre | : Computers |
ISBN | : 9781611976274 |
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It has been estimated that as much as 80% of the total effort in a typical data analysis project is taken up with data preparation, including reconciling and merging data from different sources, identifying and interpreting various data anomalies, and selecting and implementing appropriate treatment strategies for the anomalies that are found. This book focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and untreated, and options for dealing with them. As both data sources and free, open-source data analysis software environments proliferate, more people and organizations are motivated to extract useful insights and information from data of many different kinds (e.g., numerical, categorical, and text). The book emphasizes the range of open-source tools available for identifying and treating data anomalies, mostly in R but also with several examples in Python. Mining Imperfect Data: With Examples in R and Python, Second Edition presents a unified coverage of 10 different types of data anomalies (outliers, missing data, inliers, metadata errors, misalignment errors, thin levels in categorical variables, noninformative variables, duplicated records, coarsening of numerical data, and target leakage). It includes an in-depth treatment of time-series outliers and simple nonlinear digital filtering strategies for dealing with them, and it provides a detailed introduction to several useful mathematical characteristics of important data characterizations that do not appear to be widely known among practitioners, such as functional equations and key inequalities. While this book is primarily for data scientists, researchers in a variety of fields—namely statistics, machine learning, physics, engineering, medicine, social sciences, economics, and business—will also find it useful.
Nature inspired Metaheuristic Algorithms
Author | : Xin-She Yang |
Publsiher | : Luniver Press |
Total Pages | : 148 |
Release | : 2010 |
Genre | : Computers |
ISBN | : 9781905986286 |
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Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.
Clever Algorithms
Author | : Jason Brownlee |
Publsiher | : Jason Brownlee |
Total Pages | : 437 |
Release | : 2011 |
Genre | : Computers |
ISBN | : 9781446785065 |
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This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.
The Routledge Handbook on Greening High Density Cities
Author | : Peng Du,Kheir Al-Kodmany,Mir M. Ali |
Publsiher | : Taylor & Francis |
Total Pages | : 785 |
Release | : 2024-06-17 |
Genre | : Architecture |
ISBN | : 9781040030967 |
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This new handbook provides a platform to bring together multidisciplinary researchers focusing on greening high-density agglomerations from three perspectives: climate change, social implications, and people’s health. Written by leading scholars and experts, the chapters aim to summarize the “state-of-the-art” and produce a reference book for policymakers, practitioners, academics, and researchers to study, design, and build high-density cities by integrating green spaces. The topics covered in the book include (but are not limited to) Urban Heat Island, Green Space and Carbon Sequestration, Green Space and Social Equity, Green Space and Public Health, Biophilic Cities, Urban Agriculture, Vertical Farms, Urban Farming Technologies, Nature and Biodiversity, Nature and Health, Biophilic Design, Green Infrastructure, Urban Revitalization, Post-Covid Cities, Smart and Resilient Cities, Tall Buildings, and Sustainable Vertical Cities.
Electronic Governance with Emerging Technologies
Author | : Fernando Ortiz-Rodríguez,Sanju Tiwari,Miguel-Angel Sicilia,Anastasija Nikiforova |
Publsiher | : Springer Nature |
Total Pages | : 250 |
Release | : 2023-01-01 |
Genre | : Computers |
ISBN | : 9783031229503 |
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This book constitutes selected and revised papers presented at the First International Conference on Electronic Governance with Emerging Technologies, EGETC 2022, held in Tampico, Mexico, in September 2022. The 15 full papers and 2 short papers presented were thoroughly reviewed and selected from the 54 submissions. This volume focuses on the recent developmentsin the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications.