Aims and scope

Aims and Scope:

"Optimality" is an esteemed international peer-reviewed journal dedicated to fostering innovation and excellence across a comprehensive spectrum of domains unified by the common thread of optimal principles. The journal aims to publish high-quality scientific papers that significantly contribute to the understanding, advancement, and practical application of optimization and optimal solutions.

Scope:

Optimality's scope encompasses a diverse array of both conventional and cutting-edge domains, including but not limited to:

  • Mathematical Programming: Unveiling the theoretical foundations and practical applications of mathematical optimization, including linear programming, integer programming, nonlinear programming, and convex optimization.

  • Operations Research: Exploring the optimal allocation of resources, decision-making processes, and problem-solving in complex systems.

  • Numerical Optimization: Advancing the field of numerical methods for optimization, including algorithms for unconstrained and constrained optimization, gradient-based and derivative-free methods, and global optimization strategies.

  • Artificial Intelligence (AI): Investigating the intersection of AI and optimization techniques to enhance decision-making, learning, and problem-solving across industries.

  • Design Optimization: Unveiling the synergy between optimization methods and design innovation in engineering, architecture, and product development.

  • Multi-Objective Optimization: Delving into the complexities of optimizing multiple conflicting objectives, a critical challenge in various fields.

  • Game Theory and Decision Analysis: Exploring the applications of optimal strategies in game theory, cooperative and non-cooperative games, mechanism design, and decision analysis.

  • Hot Topics and Cutting-Edge Knowledge: Highlighting emerging trends and breakthrough research in the realm of optimization.

  • Interdisciplinary Collaboration: Emphasizing the value of interdisciplinary collaboration and problem structuring methods in navigating complex real-world challenges.

Optimality serves as a platform for disseminating impactful research that bridges the gap between these diverse conventional and cutting-edge domains, fostering cross-disciplinary collaboration and driving innovation. By advancing optimal thinking, computational intelligence, and state-of-the-art algorithms, the journal aims to contribute to the advancement of knowledge and the practical application of optimal solutions in various fields.