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Advanced Science, Volume 12, Issue 46, December 11, 2025.The paper proposes that the root cause of aging is the loss of anatomical goal‐directedness after development. Using evolutionary neural cellular automata simulations, the authors show that after the organism has reached its developmental homeostatic setpoint (the adult morphology), the absence of target state to pursue leads to a drifting anatomical ...
Léo Pio‐Lopez +2 more
wiley +1 more source
Neuroevolution in Games: State of the Art and Open Challenges [PDF]
, 2015 This paper surveys research on applying neuroevolution(NE) to games. In neuroevolution, artificial neural networksare trained through evolutionary algorithms, taking inspirationfrom the way biological brains evolved.
Sebastian Risi +3 more
core +1 more source
Advanced Science, Volume 12, Issue 40, October 27, 2025.This research introduces a facile and scalable FB‐CVD strategy for synthesizing high‐crystallinity, multilayer Gr‐skinned Al2O3 powders, specifically designed for advanced thermal management applications. The continuous graphene skin establishes a comprehensive heat transfer network, ensuring efficient heat dissipation.
Yuzhu Wu +27 more
wiley +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Advanced Intelligent Systems, Volume 7, Issue 10, October 2025.Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi +6 more
wiley +1 more source
Human-assisted neuroevolution through shaping, advice and examples [PDF]
, 2011 Many different methods for combining human expertise with machine learning in general, and evolutionary computation in particular, are possible. Which of these methods work best, and do they outperform human design and machine design alone?
Risto Miikkulainen +2 more
core +1 more source
Differential Evolution for Neural Networks Optimization
Mathematics, 2020 In this paper, a Neural Networks optimizer based on Self-adaptive Differential Evolution is presented. This optimizer applies mutation and crossover operators in a new way, taking into account the structure of the network according to a per layer ...
Marco Baioletti +3 more
doaj +1 more source
Concurrency and Computation: Practice and Experience, Volume 37, Issue 21-22, 25 September 2025.ABSTRACT The characteristics of soft robots make them better candidates for applications such as healthcare, due to their enhanced safety, adaptability, and more natural human‐robot interaction compared to traditional counterparts. Different actuating systems have been proposed for soft robotics. On the other hand, since this technology is fairly young,
Hugo Alcaraz‐Herrera +3 more
wiley +1 more source
InventionsThe regulation of voltage in transmission networks is becoming increasingly complex due to the dynamic behavior of modern power systems and the growing penetration of renewable generation.
Adrián Alarcón Becerra +4 more
doaj +1 more source
Quality Diversity: A New Frontier for Evolutionary Computation
Frontiers in Robotics and AI, 2016 While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization.
Justin K Pugh +2 more
doaj +1 more source
Evolutionary Machine Learning Meets Self-Supervised Learning: A Comprehensive Survey
IEEE AccessResearch that combines Evolutionary Machine Learning and Self-Supervised Learning has been steadily increasing in recent years, suggesting that the combination of these two areas can help both in shaping evolutionary processes and in automating the ...
Adriano Vinhas +2 more
doaj +1 more source