Results 251 to 260 of about 6,048,895 (335)

Federated multi-cloud task scheduling with load balancing using multi-objective NSGA-II and reinforcement learning. [PDF]

Sci Rep
Ghaban W, Alatawi HS.
europepmc   +1 more source

EdgeVolution: democratizing multi-objective neural architecture search and end-to-end deployment on microcontrollers. [PDF]

Commun Eng
Groh R, Dendorfer S, Ávila Pava M, Egle F, Zimmermann S, Kist AM.   +5 more
europepmc   +1 more source

Terminal-Edge-Cloud Collaborative Computation Offloading and Resource Allocation Strategy Based on Improved Mayfly Algorithm for District Heating Systems. [PDF]

Sensors (Basel)
Chen GH, Ma HY, Yu W, Wen J, Chen K, Wang JJ, Chen SD, Sun YL.   +7 more
europepmc   +1 more source

Evolutionary Consequences of Repeated Loss of Distyly in Linum. [PDF]

Genome Biol Evol
Postel Z, Zervakis PI, Fracassetti M, Losvik A, Wanntorp M, Soler L, Churcher A, Humphreys AM, Slotte T.   +8 more
europepmc   +1 more source

Hybrid GA-DQL approach for efficient task mapping of IoT applications in fog computing framework. [PDF]

Sci Rep
Tripathy N, Sahoo S, Alghamdi NS, Dhiman G.   +3 more
europepmc   +1 more source

EvoDiffMol: evolutionary diffusion framework for 3D molecular design with optimized properties. [PDF]

J Cheminform
Lin X, Kearney LT, Su Z, Liu Y, Naskar AK, Bhowmik D.   +5 more
europepmc   +1 more source

Evolutionary Computing

Information Processing Letters, 2002
Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, applying and studying algorithms based on the Darwinian principles of natural selection. In this paper we briefly introduce the main concepts behind evolutionary computing.
Marc Schoenauer, A E Eiben
exaly   +7 more sources

Swarm and Evolutionary Computing Algorithms for System Identification and Filter Design: A Comprehensive Review

Swarm and Evolutionary Computation, 2017
An exhaustive review on the use of structured stochastic search approaches towards system identification and digital filter design is presented in this paper.
Nithin V George, Sankha Subhra Bhattacharjee, Akhilesh Gotmare   +2 more
exaly   +3 more sources

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Trainingless multi-objective evolutionary computing-based nonintrusive load monitoring: Part of smart-home energy management for demand-side management

, 2021
Electricity is the most widely used form of energy in modern society. One method of satisfying the continuously increasing industrial, commercial, and residential electrical-energy demands of consumers in smart grids is to use an Internet-of-things (IoT)
Yu-Hsiu Lin
semanticscholar   +1 more source