Improved Multi-Objective Cuckoo-Catfish Optimizer for Smooth and Collision-Free Mobile Robot Path Planning

In this paper, an Adaptive Improved Cuckoo-Catfish Optimizer (AICCO) is proposed for smooth and collision-free mobile robot path planning in static and dynamic environments. The proposed AICCO enhances the original Cuckoo-Catfish Optimizer (CCO) by integrating chaotic opposition-based initialization...

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Auteurs principaux:	Jaafar Ahmed Abdulsaheb, Mohanad Azeez Joodi
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-06-01
Collection:	Robotics
Sujets:	mobile robot path planning Cuckoo-Catfish Optimizer Adaptive Improved CCO weighted-sum scalarization multi-objective optimization obstacle avoidance
Accès en ligne:	https://www.mdpi.com/2218-6581/15/6/115
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