Artificial Bee Colony Algorithm with Chaotic Search Implementation

In this implementation, I present a customized Artificial Bee Colony (ABC) algorithm I developed that incorporates chaotic search characteristics. The core optimization process is driven by the main function `funqun1`, which manages the colony's foraging behavior through employed bees, onlooker bees, and scout bees phases. The fitness evaluation function is fully customizable, allowing users to adapt the algorithm to specific optimization problems by modifying the objective function calculation. The code architecture follows modular design principles, separating the chaotic initialization module from the main optimization loop. Chaotic sequences enhance global search capability during the initialization phase, while the standard ABC operations ensure local refinement. Key algorithmic components include: - Population initialization using chaotic maps for better diversity - Employed bee phase for local neighborhood search - Onlooker bee phase implementing probabilistic selection based on fitness values - Scout bee phase for abandoning exhausted food sources This implementation includes comprehensive documentation explaining parameter settings, convergence criteria, and performance tuning guidelines. Reference papers detailing the theoretical foundation of ABC algorithms with chaotic enhancements are provided alongside author contact information for technical collaboration. Additional background: The Artificial Bee Colony algorithm simulates the intelligent foraging behavior of honey bee colonies. It optimizes solutions through mechanisms mimicking bee waggle dances, food source exploitation, and colony recruitment strategies. The algorithm has demonstrated successful applications in machine learning, data mining, engineering optimization, and other computational intelligence domains. For extended learning, I can provide additional case studies and comparative analysis materials to further support your understanding and application of this enhanced ABC algorithm implementation.