This Unity project harnesses evolutionary algorithms to instruct a 2D body in maintaining balance. The primary goal is to delve into and apply evolutionary algorithms within the context of a ...

Evolutionary algorithms are an interesting topic of study. Rather then relying on human ingenuity and investigation to create new designs, instead, an algorithm is given a target to achieve, and ...

Abstract: This paper presents a specialized multiobjective evolutionary algorithm SPEA2 (Strength Pareto Evolutionary Algorithm 2) coupled, separetely, with four placement heuristics for solving the ...

Abstract: We define a new class of 2D-stock cutting problems, the so called semi-quillotinable problems, and show its practical importance in solving the task of creating optimal cutting plans for a ...

An evolutionary algorithm works in conjunction with a deep neural network to create models of three-dimensional objects, which are then 3D printed.

Evolutionary computing works in an entirely different way than neural networks. The goal is to create computer code that solves a specific problem using an approach that is somewhat counterintuitive.

My intention with this article is to give an intuitive and non-technical introduction to the field of evolutionary algorithms, particularly with regards to optimisation. If I get you interested, I ...

Penn researchers have developed a universal algorithm that allows 2D materials to retain mechanical strength after conversion into 3D structures. The team’s work takes inspiration from kirigami ...

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms ...

Evolutionary algorithms present a flexible, adaptive alternative to AI deep learning, and are currently being used in computational neuroscience to accelerate the scientific understanding of the ...