Results 41 to 50 of about 2,020,079 (204)
Improved monarch butterfly optimization for unconstrained global search and neural network training
, 2017 This work is a seminal attempt to address the drawbacks of the recently proposed monarch butterfly optimization (MBO) algorithm. This algorithm suffers from premature convergence, which makes it less suitable for solving real-world problems. The position
Seyedali Mirjalili +5 more
core +1 more source
NorthernWidget-Skunkworks/Project-Monarch: Version 0.1.1: Project Monarch
, 2021 <ul> <li>Three years of updates to mechanical elements, documentation (incl. response curves), etc. </li> <li>Rename to Project Monarch (after the butterfly and its solar navigation)</li> </ul ...
Andy Wickert, Bobby Schulz
core +1 more source
Entomologia Experimentalis et Applicata, EarlyView.An integrated framework combining geometric morphometrics and ecological niche modeling was applied to Cydalima perspectalis to assess intergenerational morphological variation, test sexual dimorphism, and predict future distribution under climate scenarios. Wing shape effectively discriminated between generations but not between sexes.
Nurver Altun +2 more
wiley +1 more source
Anbar Journal of Engineering SciencesThis study introduces a cloud-edge smart manufacturing architecture for task scheduling using a hybrid NSGA-II and Improved Monarch Butterfly Optimization approach.
Ahmed Ahmed +3 more
doaj +1 more source
Complexity, 2019 Many optimization problems have become increasingly complex, which promotes researches on the improvement of different optimization algorithms. The monarch butterfly optimization (MBO) algorithm has proven to be an effective tool to solve various kinds ...
Lin Sun +3 more
doaj +1 more source
JCMS: Journal of Common Market Studies, EarlyView.Abstract Why has the United Kingdom repeatedly restored substantive compatibility with European Union (EU) regulatory norms despite formal withdrawal? This article introduces the concept of asymmetric regulatory embeddedness (ARE) to explain post‐membership governance in highly integrated sectors. ARE captures the structural condition in which a former
George Asiamah
wiley +1 more source
Mathematics, 2019 Facility layout problems (FLPs) are concerned with the non-overlapping arrangement of facilities. The objective of many FLP-based studies is to minimize the total material handling cost between facilities, which are considered as rectangular blocks of ...
Minhee Kim, Junjae Chae
doaj +1 more source
IEEE Access, 2023 Classification of different deadly diseases using machine learning algorithms helps in making the health care system more robust. This, not only reduces the human errors during diagnosis of disease due to inexperience but also helps the physician for ...
Pournamasi Parhi +2 more
doaj +1 more source
A Binary Stellar Oscillation Optimizer for 0–1 Knapsack Problems
Engineering Reports, Volume 8, Issue 10, October 2026.The stellar oscillation optimizer (SOO) is a novel nature‐inspired metaheuristic algorithm, which draws its inspiration from the motion of stellar objects in the universe. Despite its excellent performance in continuous optimization, the standard SOO framework faces limitations when addressing discrete optimization problems like the 0–1 knapsack ...
Zhiyong Li +3 more
wiley +1 more source
An improvised nature-inspired algorithm enfolded broad learning system for disease classification
Egyptian Informatics Journal, 2023 Deep analysis of genomic data reveals that many deadly diseases are generated due to genetic mutation. To make the health care system more robust, a machine learning researcher’s prime intention is to classify the genomic data more efficiently within ...
Pournamasi Parhi +2 more
doaj +1 more source