Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection

Abstract: Solving constrained multi-objective optimization problems with evolutionary algorithms has attracted considerable attention. Various constrained multi-objective optimization evolutionary ...
Tech Xplore

Smarter optimization model could cut bridge and building materials by up to 90%

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...
IEEE

A Hybrid Parallel Willow Catkin Optimization Algorithm Applied for Engineering Optimization Problems

Abstract: The Willow Catkin Optimization Algorithm (WCO) is a newly proposed meta-heuristic algorithm in recent years that has a simple structure and excellent optimization searching ability, but the ...