Trade-off between exploration and exploitation with genetic algorithm using a novel selection operator

A Hussain, YS Muhammad - Complex & intelligent systems, 2020 - Springer
As an intelligent search optimization technique, genetic algorithm (GA) is an important
approach for non-deterministic polynomial (NP-hard) and complex nature optimization …

Proposing a framework for sustainable feed formulation for laying hens: A systematic review of recent developments and future directions

MD Heidari, S Gandasasmita, E Li… - Journal of cleaner …, 2021 - Elsevier
Feed production is a significant contributor to the environmental footprint of livestock
products. Feed formulation may therefore provide valuable opportunities to reduce impacts …

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 …

Optimizing arabic speech distinctive phonetic features and phoneme recognition using genetic algorithm

AB Ibrahim, YM Seddiq, AH Meftah, M Alghamdi… - IEEE …, 2020 - ieeexplore.ieee.org
Distinctive phonetic features have an important role in Arabic speech phoneme recognition.
In a given language, distinctive phonetic features are extrapolated from acoustic features …

A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text

P Dhal, C Azad - Neural Computing and Applications, 2024 - Springer
Document classification is becoming increasingly essential for the vast number of
documents available in digital libraries, emails, the Internet, etc. Textual records frequently …

A parallel genetic algorithm with dispersion correction for HW/SW partitioning on multi-core CPU and many-core GPU

N Hou, F He, Y Zhou, Y Chen, X Yan - IEEE Access, 2017 - ieeexplore.ieee.org
In hardware/software (HW/SW) co-design, hardware/software partitioning is an essential
step in that it determines which components to be implemented in hardware and which ones …

Enhanced Genetic Method for Optimizing Multiple Sequence Alignment

MK Ibrahim, UK Yusof, TAE Eisa, M Nasser - Mathematics, 2023 - mdpi.com
In the realm of bioinformatics, Multiple Sequence Alignment (MSA) is a pivotal technique
used to optimize the alignment of multiple biological sequences, guided by specific scoring …

Smmo-cofs: synthetic multi-minority oversampling with collaborative feature selection for network intrusion detection system

YG Damtew, H Chen - International Journal of Computational Intelligence …, 2023 - Springer
Researchers publish various studies to improve the performance of network intrusion
detection systems. However, there is still a high false alarm rate and missing intrusions due …

A bi-objective function optimization approach for multiple sequence alignment using genetic algorithm

B Chowdhury, G Garai - Soft Computing, 2020 - Springer
Multiple sequence alignment (MSA) is characterized as a very high computational complex
problem. Therefore, MSA problem cannot be solved by exhaustive methods. Nowadays …

An adaptive hybrid variable-large neighborhood search algorithm for profit maximization problem in designing production lines

MU Koyuncuoğlu, L Demir - Computers & Industrial Engineering, 2023 - Elsevier
Designing production lines is an important research issue for both academy as well as
industry since it should consider both system efficiency and production costs. In this study …