Discrete Optimization - Elsevier - Impact Factor

Discrete Optimization - Elsevier | 2024 Impact Factor:1.6 | Cite Score:2.6 | Q2

Impact Factor and Journal Rank of Discrete Optimization

About: Discrete Optimization is a peer-reviewed journal that focuses on the mathematical, computational, and applied aspects of integer programming and combinatorial optimization. The journal publishes research papers that contribute significant insights and advancements in these areas, encompassing theoretical results, algorithmic developments, computational experiments, and practical applications.
Impact and Significance
Discrete Optimization is significant for several reasons:
Advancing Knowledge: It contributes to the advancement of knowledge in integer programming and combinatorial optimization through rigorous peer-reviewed research.
Algorithm Development: The journal fosters the development of efficient algorithms and computational techniques that address complex optimization problems.
Practical Applications: It facilitates the application of discrete optimization methods in real-world scenarios, including logistics, telecommunications, manufacturing, and more.
Interdisciplinary Insights: The journal encourages interdisciplinary research, promoting collaborations between mathematicians, computer scientists, engineers, and practitioners.
Global Reach: It serves as a platform for researchers worldwide to share their findings and innovations in discrete optimization.
Types of Articles Accepted
Discrete Optimization Journal accepts various types of submissions, including:
Research Papers: Original research articles presenting new theoretical insights or significant algorithmic developments.
Survey Articles: Comprehensive reviews of the state-of-the-art in specific areas of discrete optimization.
Application Papers: Studies demonstrating the application of discrete optimization techniques to solve practical problems.
Experimental Studies: Computational experiments and empirical evaluations of algorithms and methodologies.
Short Communications: Brief reports on novel findings or preliminary research results.

Journal Home: Journal Homepage

Editor-in-Chief: Nimrod Megiddo

Scope: Discrete Optimization is a peer-reviewed journal that publishes original research articles, reviews, and theoretical papers on all aspects of discrete optimization, including its theoretical foundations, algorithmic advancements, and practical applications. The journal covers a wide range of topics within discrete optimization, including but not limited to:
Combinatorial Optimization: Research on the optimization of discrete structures, such as graphs, networks, and sets, including problems like the traveling salesman, knapsack, and scheduling problems.
Integer Programming: Studies on the theory and application of integer programming techniques, including mixed-integer programming and branch-and-bound methods.
Network Optimization: Research on the optimization of network structures and flows, including shortest path, maximum flow, and network design problems.
Graph Theory and Algorithms: Studies on the optimization problems in graph theory, including matching, coloring, and partitioning.
Approximation Algorithms: Research on the development and analysis of algorithms that provide approximate solutions to hard optimization problems.
Heuristics and Metaheuristics: Studies on heuristic and metaheuristic approaches for solving discrete optimization problems, including genetic algorithms, simulated annealing, and tabu search.
Polyhedral Theory: Research on the polyhedral aspects of discrete optimization problems, including the study of polytopes and their properties.
Complexity and Computational Theory: Studies on the computational complexity of discrete optimization problems and the development of efficient algorithms.
Applications: Practical applications of discrete optimization techniques in various fields such as logistics, telecommunications, finance, transportation, and bioinformatics.
Interdisciplinary Research: Contributions that integrate discrete optimization with other disciplines such as computer science, operations research, mathematics, and engineering.