The overall goal of this project is to review and practise evolutionary computation technologies for optimization, computer vision and machine learning. Specifically, the following ideas, methods and ...

This motivates researchers to think about optimization and to apply nature-inspired algorithms, such as evolutionary algorithms (EAs) to solve optimization problems. Although these algorithms look ...

A quantum evolutionary algorithm can be termed as a concept which utilizes certain tools of quantum computing for search and optimization purposes. A quantum algorithm relies heavily on qubits and ...

Abstract: This study proposes a new hybrid algorithm for solving small to large-scale continuous global optimization problems. It comprises evolutionary computation algorithm featuring a novel ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

This repository provides implementations for the paper: Z. He, G. G. Yen, and Z. Yi, "Robust Multiobjective Optimization via Evolutionary Algorithms," in IEEE ...

The proposal that evolution could be used as a metaphor for problem solving came with the invention of the computer ... implies that evolutionary algorithms can be used to solve optimization ...

Evolutionary intelligent algorithms and machine learning methods have shown merits in dealing with complex optimization problems. Therefore, this issue aims to provide a platform for such forum to ...