Self-adaptive bat algorithm with genetic operations

J Bi, H Yuan, J Zhai, MC Zhou… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …

An improved genetic algorithm for numerical function optimization

Y Song, F Wang, X Chen - Applied Intelligence, 2019 - Springer
To avoid problems such as premature convergence and falling into a local optimum, this
paper proposes an improved real-coded genetic algorithm (RCGA-rdn) to improve the …

[HTML][HTML] Energy-efficient chain-cluster based intelligent routing technique for Wireless Sensor Networks

N Ramluckun - Applied Computing and Informatics, 2018 - emerald.com
With the increasing acclaim of Wireless Sensor Networks and its diverse applications,
research has been directed into optimising and prolonging the network lifetime. Energy …

[HTML][HTML] A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems

B Khurshid, S Maqsood, Y Khurshid, K Naeem… - Scientific Reports, 2024 - nature.com
This study investigates the no-wait flow shop scheduling problem and proposes a hybrid
(HES-IG) algorithm that utilizes makespan as the objective function. To address the …

Type2 soft biclustering framework for Alzheimer microarray

ZM Husseini, MHF Zarandi, A Ahmadi - Applied Soft Computing, 2024 - Elsevier
Microarray technology is a powerful tool that enables simultaneous analysis of the
expression level of a large number of genes for different samples. Reliable information on …

An evolutionary algorithm: an enhancement of binary tournament selection for fish feed formulation

CJ Soong, RA Rahman, R Ramli, MSA Manaf… - …, 2022 - Wiley Online Library
Binary tournament (BT) selection is known as an established selection operator that has
been employed in various problems. However, in the development of evolutionary …

[PDF][PDF] Optimasi Penjadwalan Mata Kuliah Menggunakan Metode Algoritma Genetika dengan Teknik Tournament Selection

Y Sari, M Alkaff, ES Wijaya… - J. Teknol. Inf. dan …, 2019 - pdfs.semanticscholar.org
Bagi sebuah perguruan tinggi, penjadwalan perkuliahan merupakan suatu kegiatan yang
sangat penting untuk dapat terlaksananya proses belajar mengajar yang baik. Dimana …

An enhanced genetic algorithm for heterogeneous group formation based on multi-characteristics in social-networking-based learning

A Krouska, M Virvou - IEEE Transactions on Learning …, 2019 - ieeexplore.ieee.org
Social networking-based learning (SN-learning) is one of the most promising innovations to
promote learning via a social network, and thus, providing a more interactive, student …

[HTML][HTML] Integrating the Opposition Nelder–Mead Algorithm into the Selection Phase of the Genetic Algorithm for Enhanced Optimization

F Zitouni, S Harous - Applied System Innovation, 2023 - mdpi.com
In this paper, we propose a novel methodology that combines the opposition Nelder–Mead
algorithm and the selection phase of the genetic algorithm. This integration aims to enhance …

RDF query path optimization using hybrid genetic algorithms: Semantic web vs. data-intensive cloud computing

QM Ilyas, M Ahmad, S Rauf, D Irfan - International Journal of Cloud …, 2022 - igi-global.com
Abstract Resource Description Framework (RDF) inherently supports data mergers from
various resources into a single federated graph that can become very large even for an …