GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
IEEE

Enhanced Crayfish Optimization Algorithm with Dimension and Covariance Matrix Learning

Abstract: The Crayfish Optimization Algorithm (COA) draws inspiration from crayfish foraging, summer dormancy, and competitive behaviors. However, it often struggles with local optima convergence and ...
GitHub

LLM4AD: Large Language Model for Algorithm Design

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...
IEEE

Matrix-Driven Adaptive Dual-Space Evolutionary Algorithm for Many-Task Optimization

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...