GENetic EVolutionary Organoid: The Self-Evolving Neural Architecture. Inspiration: Biological genes — evolution, adaptation, and infinite creative potential. Goal: Surpass every major AGI benchmark ...

Abstract: This paper proposes a memory-enhanced evolutionary algorithm that can effectively address multi- and many-objective optimization problems with various Pareto fronts within a small number of ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Abstract: Problem transformation-based multiobjective evolutionary algorithms (MOEAs) face the risk of losing optimal solutions when transforming a large-scale multiobjective optimization problem into ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

See /GLS/README.md for detailed documentation of this innovation. Population size: 200 Maximum generations: 300 Random mating probability (RMP): 0.4 Mutation rate: 0. ...

A new lecture series will be coming to the Rowley Center for Science and Engineering. Dr. Walter Jahn, the creator of the successful “Birds of Orange County” lecture series has organized another set ...