A novel Kangaroo Escape Optimizer

A novel metaheuristic algorithm named Kangaroo Escape optimizer, inspired by the survival-driven escape strategies

In this study, we propose a novel metaheuristic algorithm named Kangaroo Escape optimizer, inspired by the survival-driven escape strategies of kangaroos in unpredictable environments. The algorithm integrates a chaotic logistic energy adaptation strategy to balance a two-phase exploration process—zigzag motion and long-jump escape—and an adaptive exploitation phase with local search guided by either nearby elite solutions or random peers. A unique decoy drop mechanism is introduced to prevent premature convergence and ensure dynamic diversity.

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% Main Paper

% Sulaiman Z. Almutairi, Abdullah M. Shaheen

% "A novel Kangaroo Escape Optimizer for Parameter Estimation of Solar Photovoltaic Cells/Modules Via One, Two and Three-Diode Equivalent Circuit Modeling

% Scientific Reports 2025

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