Cheng‐Chieh Chen

Papers

Total Citations

H-Index

About

Cheng-Chieh Chen is a researcher whose work bridges evolutionary computation and applied optimization, with a particular focus on path planning for dynamic and complex environments. His most cited paper, "An evolutionary path planning algorithm for military applications" (2008), introduces a novel adaptation of an evolutionary algorithm—originally developed for optimizing 3D highway alignments—to address real-time path planning in changing military terrains. This contribution demonstrates his ability to repurpose computational methods for high-stakes, time-sensitive scenarios, offering a foundation for adaptive routing in defense and autonomous systems. While his citation count (3) reflects a niche but specialized impact, his work is notable for its practical orientation: it reviews relevant literature and tests algorithmic robustness under environmental shifts, a key challenge in robotics and logistics. Chen’s research underscores the value of evolutionary algorithms in solving constrained, multi-objective problems, making his contributions relevant to students and researchers exploring adaptive path planning, military simulation, or optimization under uncertainty.