Results 121 to 130 of about 259,960 (340)

Evolutionary Computation for CSP’s [PDF]

, 2003
Los problemas de Scheduling son un paradigma de la familia de problemas CSP. En este artículo presentamos algunas técnicas de resolución mediante Algoritmos Genéticos.
Alonso González, César Luis, Puente Peinador, Jorge, Rodríguez Vela, María del Camino, Varela Arias, José Ramiro   +3 more
core  

Evolutionary Computation for Static Traffic Light Cycle Optimisation [PDF]

, 2018
Eltayeb K. E. Ahmed, Amr M. A. Khalifa, Ahmed Kheiri   +2 more
openalex   +1 more source

Evolutionary aspects of reservoir computing [PDF]

Philosophical Transactions of the Royal Society B: Biological Sciences, 2019
Reservoir computing (RC) is a powerful computational paradigm that allows high versatility with cheap learning. While other artificial intelligence approaches need exhaustive resources to specify their inner workings, RC is based on a reservoir with highly nonlinear dynamics that does not require a fine tuning of its parts. These dynamics project input
openaire   +4 more sources

C2α‐carbanion‐protonating glutamate discloses tradeoffs between substrate accommodation and reaction rate in actinobacterial 2‐hydroxyacyl‐CoA lyase

FEBS Open Bio, EarlyView.
Enzymes of the 2‐hydroxyacyl‐CoA lyase group catalyze the condensation of formyl‐CoA with aldehydes or ketones. Thus, by structural adaptation of active sites, practically any pharmaceutically and industrially important 2‐hydroxyacid could be biotechnologically synthesized. Combining crystal structure analysis, active site mutations and kinetic assays,
Michael Zahn, Barbara Seroka, Ryszard Lazny, Zenon Lotowski, Thore Rohwerder   +4 more
wiley   +1 more source

Identification of thermal properties of hardening concrete by means of evolutionary algorithms

Computer Assisted Methods in Engineering and Science, 2017
In this paper, the evolutionary computation procedures for identifying thermophysical properties in hardening massive concrete structures are presented.
Adam Długosz, Iwona Pokorska, Michał A. Glinicki, Roman Jaskulski   +3 more
doaj   +1 more source

Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization. [PDF]

Biomimetics (Basel), 2022
Chen Z, Francis A, Li S, Liao B, Xiao D, Ha TT, Li J, Ding L, Cao X.   +8 more
europepmc   +1 more source

Making Indefinite Kernel Learning Practical [PDF]

In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and see why this paradigm is successful for many pattern recognition problems ...
Mierswa, Ingo
core  

An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search [PDF]

, 2011
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
al-Rifaie, Mohammad Majid, Bishop, Mark (J. M.), Blackwell, Tim M.   +2 more
core  

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Creative AI Through Evolutionary Computation: Principles and Examples. [PDF]

SN Comput Sci, 2021
Miikkulainen R.
europepmc   +1 more source