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Vol. 1 No. 3 (2022): September 2022
					View Vol. 1 No. 3 (2022): September 2022
Published: 2022-09-30

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International Journal of Global Optimization and Its Application

annoucement

International Journal of Global Optimization and Its Application (IJGOIA) is a double-blind peer-reviewed scientific journal. IJGOIA publishes carefully refereed papers that encompass theoretical, computational, and applied aspects of global optimization and its applications. While the focus is on original research contributions dealing with the search for global optima of non-convex, multi-extremal problems, the journal’s scope covers optimization in the widest sense, including stochastic, nonlinear, robust, multi-objective optimization, mixed integer, combinatorial, computational geometry, and equilibrium problems. Relevant works on data-driven methods and optimization-based data mining are of special interest. In addition to papers covering theory and algorithms of global optimization, the journal publishes significant papers on numerical experiments, new testbeds, and applications in engineering, economics, business, management, technology and sciences. Applications of particular interest include healthcare, computational biochemistry, energy systems, telecommunications, business, economics, management, technology and finance. 

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Call for Papers

International Journal of Global Optimization and Its Application (IJGOIA) is a double-blind peer-reviewed scientific journal published 4 (four) times a year, i.e., March, June, September and December. IJGOIA has an inclusive ethos and is open to a wide range of methodological approaches and philosophical underpinnings and published for executives, researchers, and scholars, focusing on applying empirical investigation to practical circumstances and theoretical findings. IJGOIA encompass theoretical, computational, and applied aspects of global optimization and its applications. While the focus is on original research contributions dealing with the search for global optima of non-convex, multi-extremal problems, the journal’s scope covers optimization in the widest sense, including stochastic, nonlinear, robust, multi-objective optimization, mixed integer, combinatorial, computational geometry, and equilibrium problems. Relevant works on data-driven methods and optimization-based data mining are of special interest. In addition to papers covering theory and algorithms of global optimization, the journal publishes significant papers on numerical experiments, new testbeds, and applications in engineering, economics, business, management, technology and sciences. Applications of particular interest include healthcare, computational biochemistry, energy systems, telecommunications, business, economics, management, technology and finance.