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Dynamic Programming and Bayesian Inference, Concepts/Apps
This is a book on the farranging algorithmic methododogy of Dynamic Programming. It presents a comprehensive and rigorous treatment of dynamic programming.

Variational Analysis (R. Tyrrell Rockafellar, et al)
This book develops a unified framework and, in finite dimension, provides a detailed exposition of variational geometry and subdifferential calculus in their current forms beyond classical and convex analysis.

Linear Programming: Foundations and Extensions (R. Vanderbei)
This book introduces the theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatment of linear programming and then proceeding to convex analysis, network flows, integer programming, etc..

Convex Optimization (Stephen Boyd, et al)
On recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

The LION Way: Machine Learning Plus Intelligent Optimization
This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to people in both fields. Optimization approaches have enjoyed prominence in machine learning.

Urban Operations Research (Richard C. Larson, et al)
The book covers a wide variety of applied operations research in a way not seen elsewhere. With an emphasis on model building, not theorem proving.

Methods and Models of Operations Research (Arnold Kaufmann)
This book focuses on the fundamental models and methodologies underlying the practice of Operations Research.

Multiagent Systems: Algorithmic, GameTheoretic, and Logic, etc.
This comprehensive introduction to a burgeoning field is written from a computer science perspective, while bringing together ideas from operations research, game theory, economics, logic, and even philosophy and linguistics.

Optimization for Engineering Systems (Ralph W. Pike)
This book stands at the interface of mathematics and industrial applications of optimization. The topics were selected for their breadth of application to the optimization of engineering systems, especially continuous ones.

Ant Colony Optimization  Techniques and Applications
The book first describes the translation of observed ant behavior into working optimization algorithms. The Ant Colony Optimization is then introduced and viewed in the general context of combinatorial optimization.

Planning Algorithms (Steven M. LaValle)
This is the only book for teaching and referencing of Planning Algorithms in applications including robotics, computational biology, computer graphics, manufacturing, aerospace applications and medicine, etc.

The Design of Approximation Algorithms (D. P. Williamson)
This book shows how to design approximation algorithms: efficient algorithms that find provably nearoptimal solutions. is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization.

Search Algorithms for Engineering Optimization ©2013
This book explores a variety of applications for search methods and techniques in different fields of electrical engineering. By organizing relevant results and apps.

Network Calculus: Deterministic Queuing Systems for the Internet
Network Calculus is a set of recent developments that provide deep insights into flow problems encountered in the Internet and in intranets.

Global Optimization Algorithms  Theory and Application. 2nd Edition
This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems.

A Field Guide to Genetic Programming (Riccardo Poli, et al)
This book to provides a complete and coherent review of the theory of genetic programming (GP). It is written by three of the most active scientists in GP.

Genetic Algorithms in Applications (Rustem Popa)
This wellorganized book takes the reader through the new and rapidly expanding field of genetic algorithms step by step, from a discussion of numerical optimization, to a survey of current extensions to genetic algorithms and applications.

DiscreteEvent Control of Stochastic Networks (Eitan Altman, et al)
Opening new directions in research in both discrete event dynamic systems as well as in stochastic control, this volume focuses on a wide class of control and of optimization problems over sequences of integer numbers.

Genetic Programming  New Approaches & Successful Applications
The purpose of this book is to show recent advances in the field of Genetic programming, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems.

Advanced Topics in Applied Operations Management (Y. Holtzman)
This book creatively demonstrates a valuable connection among operations strategy, operations management, operations research, and various departments, systems, and practices throughout an organization.

Essentials of Metaheuristics (Sean Luke)
This book is an open set of lecture notes on metaheuristics algorithms, intended for undergraduate students, practitioners, programmers, and other nonexperts.

A Gentle Guide to Constraint Logic Programming, 3rd Edition
This is an introductory and downtoearth presentation of Constraint Logic Programming (CLP), for solving combinatorial as well as continuous constraint satisfaction problems and constraint optimization problems.

Evolutionary Algorithms (Eisuke Kita)
The goal of this book is to provide effective evolutionary algorithms that have been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

Traveling Salesman Problem, Theory and Applications
This book is a collection of current research in the application of evolutionary algorithms and other optimal algorithms to solving the TSP problem.

Optimization Algorithms on Matrix Manifolds (P.A. Absil, et al)
This book offers techniques with broad applications in linear algebra, signal processing, data mining, computer vision, and statistical analysis.

Feedback Systems: An Introduction for Scientists and Engineers
This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It uses techniques from physics, computer science, and operations research to introduce controloriented modeling.

Advances in Evolutionary Algorithms (Witold Kosinski)
Provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.

Tabu Search (Wassim Jaziri)
The goal of this book is to report original researches on algorithms and applications of Tabu Search to realworld problems.

Knapsack Problems: Algorithms and Computer Implementations
The text fully develops an algorithmic approach to Knapsack Problems without losing mathematical rigor.

Templates for the Solution of Linear Systems: Building Blocks
In this book, which focuses on the use of iterative methods for solving large sparse systems of linear equations, templates are introduced to meet the needs of both the traditional user and the highperformance specialist.

Operations Research (OR), Linear Programming, Optimization
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