Most of the real world problems arising in engineering, economics, management, finance, medicine and other domains can be formulated as optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions and constraints which ask for adequate computational methods. The aim this book is to stimulate the communication between researchers from different fields of optimization and practitioners who need reliable and efficient computational optimization methods. This volume presents a number of papers written by experts in the field of optimization. The papers involve theoretical article, optimization methodologies, evolutionary optimization procedures and application issues. Anyone interested from the respective fields will find this book useful.

Preface / Unconstrained and Constrained Optimization / Traditional Vs. Non-traditional Optimization Tools / Multiobjective Optimization using Metaheuristic Approaches / Ant Colony Optimization: An Overview / Recent Advances in Evolutionary Search and Optimization Algorithms / Stochastic Optimization: A Conspectus / Fundamentals of Logic and its Application to Operations Research / A Conceptual Overview of Structural Equation Modeling / A Multi-objective Pareto-optimal Solution to the Box-pushing Problem by Mobile Robots using NSGA-II.

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