IEEE

An Auxiliary Problem-Assisted Evolutionary Algorithm With Dynamics Regulation for Complex Constrained Multiobjective Optimization

Abstract: Existing constrained multiobjective evolutionary algorithms (CMOEAs) frequently employ the information provided by the unconstrained Pareto front (UPF) to facilitate the identification of ...
IEEE

Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
LinkedIn

Genetic Algorithms: An Evolutionary Approach to Problem Solving

Genetic Algorithms (GAs) are a class of optimization and search techniques inspired by the process of natural evolution. The concept is based on the idea that, just as species evolve and adapt to ...
Nature

A hybrid fungal growth and differential evolution algorithm for energy-efficient UAV trajectory planning in MEC

The deployment of Unmanned Aerial Vehicles (UAVs) in conjunction with Mobile Edge Computing (MEC) has come to be a viable approach to solve some challenges that face the internet of things systems, ...
GitHub

pk-pi-hermes-evolve

The core loop is modeled after Hermes' mutation → evaluation → guardrails → human review flow, but adapted to pi extension APIs and local pi session history.