JMetaBFOP: A tool for solving global optimization problems

The Two-Swim Modified Bacterial Foraging Optimization Algorithm (TS-MBFOA) is a bio-inspired algorithm that emulates the foraging behavior of E. Coli bacteria to solve optimization problems. JMetaBFOP (Bacterial foraging-based METAheuristics For Problems) framework implementing TS-MBFOA processes as library problems with preloaded constraints or defined by end user. This paper presents framework’s design using Unified Modeling Language (UML), implementation user interface (UI) in Java platform, and use mathematical expression evaluator called mXparser. allows faster calibration parameters help UI; it eases experimental setup, visualization, evaluation feasible optimal results for different constraints, such benchmarks particular was tested 24 test results: competitive 14 problems, 7 ones, no solutions 3 highly constrained an open-source project available on GitHub platform.