Eagle Strategy Based on Modified Barnacles Mating Optimization and Differential Evolution Algorithms for Solving Transient Heat Conduction Problems

Solving time-dependent heat conduction problems through a conventional solution procedure of iterative root-finding method may sometimes cause difficulties in obtaining accurate temperature distribution across the transfer medium. Analytical methods require good initial estimates for finding exact solutions, however locating these promising regions is some kind black-box process. One possible answer to this problem convert equation into an optimization problem, which eliminates exhaustive process determining correct guess. This study proposes Eagle Strategy framework based on modified mutation equations Barnacles Mating Optimizer and Differential Evolution algorithm solving one-dimensional transient problems. A test suite forty benchmark have been solved by proposed respective outcomes compared with those found reputed literature optimizers. Moreover, five challenging real-world constrained further scrutinize effectiveness framework. Finally, two case studies associated solved. Results show that strategy can provide efficient feasible results various types domains.