Dogfight Search: A Swarm-Based Optimization Algorithm for Complex Engineering Optimization and Mountainous Terrain Path Planning

📰 ArXiv cs.AI

Dogfight Search is a novel swarm-based optimization algorithm inspired by tactical fighter behavior for complex engineering optimization and path planning

advanced Published 31 Mar 2026

Action Steps

Understand the Dogfight Search algorithm's framework and its inspiration from kinematics
Apply the algorithm to complex engineering optimization problems using benchmark test functions like CEC2017 and CEC2022
Evaluate the performance of Dogfight Search against traditional optimization algorithms
Integrate Dogfight Search into path planning systems for mountainous terrain navigation

Who Needs to Know This

AI engineers and researchers can benefit from this algorithm for solving complex optimization problems, while software engineers can apply it to develop more efficient path planning systems

Key Insight

💡 Dogfight Search algorithm draws its framework from kinematics and can be used for complex optimization problems and path planning