IEEE

A Comprehensive Survey of Path Planning Algorithms for Autonomous Systems and Mobile Robots: Traditional and Modern Approaches

Abstract: Path planning is a crucial component for robotics and autonomous systems, which facilitate navigation through dynamic and uncertain environments while avoiding obstacles. This review paper ...
IEEE

A Comprehensive Review of Recent Advances on Intelligence Algorithms and Information Engineering Applications

Abstract: The advent of artificial intelligence (AI) has catalyzed transformative changes across diverse domains, establishing itself as a disruptive technology. Traditional methods often fall short ...
IEEE

An Evolutionary Algorithm for Solving Large-Scale Robust Multiobjective Optimization Problems

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...
IEEE

An Efficient and Accurate A-Star Algorithm for Autonomous Vehicle Path Planning

Abstract: Efficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for unmanned vehicle ...
IEEE

A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time

Abstract: Green flexible job-shop scheduling problem (FJSP) aims to improve profit and reduce energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy processing time is proposed ...
IEEE

Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling

Abstract: As a new analogy paradigm of human learning process, reinforcement learning (RL) has become an emerging topic in computational intelligence (CI). The synergy between the RL and CI is an ...