Results 51 to 60 of about 250,700 (315)

Optimizing Team Sport Training With Multi-Objective Evolutionary Computation

open access: yesInternational Journal of Computer Science in Sport, 2021
This research introduces a new novel method for mathematically optimizing team sport training models to enhance two measures of athletic performance using an evolutionary computation based approach.
Connor Mark   +4 more
doaj   +1 more source

Model Paralelisasi Algoritma Genetika Terpandu pada Sistem Penjadwalan Kuliah Universitas dengan Alokasi Waktu Dinamis

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021
One of the many techniques used to solve the University Course Timetable Problem (UCTP) is Genetic Algorithm (GA) which is a technique in the field of Evolutionary Computation.
Muhammad Fachrie, Anita Fira Waluyo
doaj   +1 more source

Evolutionary aspects of reservoir computing [PDF]

open access: yesPhilosophical 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   +5 more sources

EVOLUTIONARY COMPUTING PROJECT [PDF]

open access: yes, 2000
This report summarizes LDRD-funded mathematical research related to computer simulation, inspired in part by combinatorial analysis of sequence to structure relationships of bio-molecules. Computer simulations calculate the interactions among many individual, local entities, thereby generating global dynamics.
Barrett, C., Reidys, C.
openaire   +2 more sources

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

Design Exploration of Initial Bubbles for Higher-Speed Laser-Induced Microjets

open access: yesIEEE Access, 2023
Laser-induced microjets are advantageous for yielding high-speed and convergent microjets shape. However, owing to the need for high-power laser devices, reducing the required laser power is a prerequisite for convenience in practical use.
Tatsumasa Ishikawa   +2 more
doaj   +1 more source

Generating map sketches for strategy games [PDF]

open access: yes, 2015
How can a human and an algorithm productively collaborate on generating game content? In this paper, we try to answer this question in the context of generating balanced and interesting low-resolution sketches for game levels.
16th European Conference on the Applications of Evolutionary Computation   +3 more
core   +1 more source

The cytoskeletal control of B cell receptor and integrin signaling in normal B cells and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley   +1 more source

GA Approach to Optimize Training Client Set in Federated Learning

open access: yesIEEE Access, 2023
Federated learning, where the distribution of distributed data is unknown, is more difficult and costly to train a central model with than traditional machine learning.
Dongseok Kang, Chang Wook Ahn
doaj   +1 more source

Memetic Artificial Bee Colony Algorithm for Large-Scale Global Optimization

open access: yes, 2012
Memetic computation (MC) has emerged recently as a new paradigm of efficient algorithms for solving the hardest optimization problems. On the other hand, artificial bees colony (ABC) algorithms demonstrate good performances when solving continuous and ...
Brest, Janez   +3 more
core   +1 more source

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