Results 121 to 130 of about 426 (167)
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Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning
2018 6th International Conference on Multimedia Computing and Systems (ICMCS), 2018This paper presents an implementation of the modified monarch butterfly optimization algorithm for solving the RFID network planning problem. This problem is one of the most studied challenges in the RFID domain, and was not tackled with the monarch butterfly optimization metaheuristic before.
Ivana Strumberger +4 more
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Critical Reviews in Biomedical Engineering, 2022
In recent years, diabetic retinopathy (DR) needs to be focused with the intention of developing accurate and effective approaches by accomplishing the existing challenges in the traditional models. With this objective, this paper aims to introduce an effective diagnosis system by utilizing retinal fundus images.
S Shafiulla, Basha, K Venkata, Ramanaiah
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In recent years, diabetic retinopathy (DR) needs to be focused with the intention of developing accurate and effective approaches by accomplishing the existing challenges in the traditional models. With this objective, this paper aims to introduce an effective diagnosis system by utilizing retinal fundus images.
S Shafiulla, Basha, K Venkata, Ramanaiah
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A Monarch Butterfly Optimization Approach to Dynamic Task Scheduling
2020Parallel processing has been employed many years in high-performance computing. Parallel processing is mostly used because it provides concurrency, maximizes load balancing, and minimizes system idle time and execution time which depend on various computer architecture.
Chouhan Kumar Rath +2 more
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Monarch Butterfly Optimization-Based Computational Methodology for Unit Commitment Problem
Electric Power Components and Systems, 2020—This paper provides a computational methodology based on monarch butterfly optimization (MBO) to find a solution to the problem of cost-based unit commitment (CBUC).
Vineet Kumar, Ram Naresh
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A monarch butterfly optimization for an unequal area facility layout problem
Soft Computing, 2021Unequal area facility layout problems deal with the placement of departments in a particular area. In these problems, unsettled rectangular-shaped blocks with an aspect ratio limitation are arranged in a given space. This has been widely studied for facility planning design and operating efficiency.
Minhee Kim, Junjae Chae
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The monarch butterfly optimization algorithm for solving feature selection problems
Neural Computing and Applications, 2020Feature selection (FS) is considered to be a hard optimization problem in data mining and some artificial intelligence fields. It is a process where rather than studying all of the features of a whole dataset, some associated features of a problem are selected, the aim of which is to increase classification accuracy and reduce computational time.
Mohammed Alweshah +5 more
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Neural Computing and Applications, 2016
The aim of the study was to propose a new metaheuristic algorithm that combines parts of the well-known artificial bee colony (ABC) optimization with elements from the recent monarch butterfly optimization (MBO) algorithm. The idea is to improve the balance between the characteristics of exploration and exploitation in those algorithms in order to ...
Waheed A. H. M. Ghanem, Aman Jantan
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The aim of the study was to propose a new metaheuristic algorithm that combines parts of the well-known artificial bee colony (ABC) optimization with elements from the recent monarch butterfly optimization (MBO) algorithm. The idea is to improve the balance between the characteristics of exploration and exploitation in those algorithms in order to ...
Waheed A. H. M. Ghanem, Aman Jantan
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A Multi-objective Optimization Algorithm Based on Monarch Butterfly Optimization
2019Swarm intelligence optimization algorithm is an important technology that solves the complex optimization problem by simulating the behavior of biological groups in nature. Monarch butterfly optimization (MBO) algorithm is such a swarm intelligence algorithm that simulates the migration behavior of the monarch butterflies in nature.
Rui Hu +3 more
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Monarch butterfly optimization algorithm for localization in wireless sensor networks
2018 28th International Conference Radioelektronika (RADIOELEKTRONIKA), 2018In this paper we adjusted recent monarch butterfly optimization algorithm for solving NP-hard wireless sensor networks optimization problem, as one of the most important challenges in this area. The main goal of node localization problem is to find geographical coordinates of each sensor node with unknown position that are randomly deployed in the ...
Ivana Strumberger +4 more
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Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem
International Journal of Machine Learning and Cybernetics, 2019Datasets obtained from the real world are far from balanced, particularly for disease datasets, since such datasets are usually highly skewed having a few minority classes apart from one or more prominent majority classes. In this research, we put forward the novel hybrid architecture to handle imbalanced binary disease datasets that arrives upon the ...
MadhuSudana Rao Nalluri +3 more
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