https://ijasca.zuj.edu.jo/index.php/IJASCA <p>In recent years, there emerged a need for Advances in Soft Computing (ASC) and its optimization solutions to evolve in various fields such as Actuarial Science, Financial Engineering, Water Resource Management, Remote Sensing, GIS, among many others. Solutions to the most of engineering problems have become easier by applying these technologies. The mushrooming births of advanced nature of inspired techniques and the new intelligent system architectures are often due to fusion and hybridization of different learning and adaptation of soft computing techniques. This new approach has addressed the limitations of individual technique.</p> <p>This journal aims to bring together research in the area of Advances in Soft Computing, investigate the mathematical novel solutions and its applications as well as the future direction of this field that can be of great beneficial interest for mathematicians, computer scientists and engineers.</p> <p>IJASCA is a peer-reviewed journal that incorporates three issues of high-quality papers per year. It publishes articles which contribute to all areas of Soft Computing. The process involves at least two specialist referees with fast, confidential and objective review. The IJASCA editorial team are pleased to consider your work for publication at any time.</p> Al-Zaytoonah University of Jordan, en-US International Journal of Advances in Soft Computing and its Applications 2710-1274 https://ijasca.zuj.edu.jo/index.php/IJASCA/article/view/4 <p>Metaheuristic algorithms have garnered a lot of attention in the optimization field. Humans have been using metaheuristic algorithms to solve problems for last decade. Using concepts from natural selection, evolution, and problem-solving techniques, the application of these techniques to combinatorial optimization issues has quickly expanded as a field of study. In this paper, a novel meta-heuristic optimization method is proposed, called “Bermuda Triangle Optimizer (BTO)”. The underlying concepts of the farmer one is inspired by the force of attraction of Bermuda, which many aircraft and ships are mysteriously disappeared in this area. The area of attractive force has a form of triangle roughly bounded by Florida, Bermuda, and Puerto Rico in which attracts any object to the center of triangle. Based on this theory, this point can be considered as the best solution (optimal value). BTO is tested in solving test bed suites of “Congress on Evolutionary Computation (CEC 2017)”. The BTO is compared against well-known physical based optimization algorithms, which are “Chernobyl Disaster Optimizer (CDO)”, and “Gravitational Search Algorithm (GSA)”. The outcomes of this study prove the performance of BTO in which can be considered as viable alternative.</p> Hisham A. Hisham A. Shehadeh Copyright (c) 2025 International Journal of Advances in Soft Computing and its Applications 2025-08-13 2025-08-13 17 2 1 19