GeoEngineerings

Xin-She Yang ... 347 pages - Publisher: Wiley; 1st edition (July, 2010) ... Language: English - ISBN-10: 0470582464 - ISBN-13: 978-0470582466 ...

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences: From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method + Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search +Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization. Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

A. Ravindran, K. M. Ragsdell, G. V. Reklaitis ... 688 pages - Publisher: Wiley; 2nd edition (May, 2006) ... Language: English - ISBN-10: 0471558141 - ISBN-13: 978-0471558149 ...

The classic introduction to engineering optimization theory and practice--now expanded and updated. Engineering optimization helps engineers zero in on the most effective, efficient solutions to problems. This text provides a practical, real-world understanding of engineering optimization. Rather than belaboring underlying proofs and mathematical derivations, it emphasizes optimization methodology, focusing on techniques and stratagems relevant to engineering applications in design, operations, and analysis. It surveys diverse optimization methods, ranging from those applicable to the minimization of a single-variable function to those most suitable for large-scale, nonlinear constrained problems. New material covered includes the duality theory, interior point methods for solving LP problems, the generalized Lagrange multiplier method and generalization of convex functions, and goal programming for solving multi-objective optimization problems. A practical, hands-on reference and text, Engineering Optimization, Second Edition covers: * Practical issues, such as model formulation, implementation, starting point generation, and more. * Current, state-of-the-art optimization software. * Three engineering case studies plus numerous examples from chemical, industrial, and mechanical engineering. * Both classical methods and new techniques, such as successive quadratic programming, interior point methods, and goal programming. Excellent for self-study and as a reference for engineering professionals, this Second Edition is also ideal for senior and graduate courses on engineering optimization, including television and online instruction, as well as for in-plant training.

Salford Predictive Modeler v8.0.0.576 [Size: 33 MB] ... The SPM Salford Predictive Modeler® software suite is a highly accurate and ultra-fast analytics and data mining platform for creating predictive, descriptive, and analytical models from databases of any size, complexity, or organization. This suite of data mining tools includes Salford Systems' flagship products of CART, MARS, TreeNet, and Random Forests. The SPM software suite's automation accelerates the process of model building by conducting substantial portions of the model exploration and refinement process for the analyst. While the analyst is always in full control, we optionally anticipate the analysts next best steps and package a complete set of results from alternative modeling strategies for easy review. Do in one day what normally requires a week or more using other systems!

J. K. Yates ... 432 pages - Publisher: American Society of Civil Engineers; (September, 2014) ... Language: English - ISBN-10: 0784413460 - ISBN-13: 978-0784413463

On a multimillion-dollar construction project, even a small increase in productivity can yield millions of dollars in additional profitas well as a safer and more efficient work environment. Yet many engineering and construction firms overlook analysis tools that would help improve productivity. This book focuses exclusively on investigation and analysis techniques that support the implementation of productivity improvement programs. It addresses productivity improvement from both engineering and construction perspectives and provides detailed case studies that illustrate the implementation of productivity improvement programs. J.K. Yates lays the groundwork by defining what it means to improve productivity and summarizing contemporary approaches to productivity improvement programs. The human component of productivity improvement is addressed. Then the reader is taken step-by-step through stages of investigation, data analysis, evaluation of alternatives, and project management. In addition to covering traditional productivity improvement topics, this book also includes information on new and emerging areas, such as building information modeling (BIM), sustainability concepts, computer simulation modeling, and global productivity issues. Engineering and construction industry professionals will use this book to critically analyze work processes and to design programs that increase production rates at engineering firms and construction job sites.

Andreas Öchsner ... 485 pages - Publisher: Springer; (May, 2016) ... Language: English - ISBN-10: 9811007322 - ISBN-13: 978-9811007323.

This book introduces readers to modern computational mechanics based on the finite element method. It helps students succeed in mechanics courses by showing them how to apply the fundamental knowledge they gained in the first years of their engineering education to more advanced topics. In order to deepen readers’ understanding of the derived equations and theories, each chapter also includes supplementary problems. These problems start with fundamental knowledge questions on the theory presented in the chapter, followed by calculation problems. In total over 80 such calculation problems are provided, along with brief solutions for each. This book is especially designed to meet the needs of Australian students, reviewing the mathematics covered in their first two years at university. The 13-week course comprises three hours of lectures and two hours of tutorials per week.