25 Result(s)
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Chapter and Conference Paper
Solving 0–1 Knapsack Problems by Binary Dragonfly Algorithm
The 0–1 knapsack problem (0–1KP) is a well-known combinatorial optimization problem. It is an NP-hard problem which plays significant roles in many real life applications. Dragonfly algorithm (DA) a novel swar...
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Article
A comprehensive study of cuckoo-inspired algorithms
Nature-inspired metaheuristic algorithms are considered as the most effective techniques for solving various optimization problems. This paper provides a briefly review of the key features of the cuckoo-inspir...
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Article
RETRACTED ARTICLE: An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems
Bin packing problem (BPP) is a classical combinatorial optimization problem widely used in a wide range of fields. The main aim of this paper is to propose a new variant of whale optimization algorithm named i...
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Article
Krill herd algorithm based on cuckoo search for solving engineering optimization problems
This paper presents a hybrid krill herd (CSKH) approach to solve structural optimization problems. CSKH improved the Krill herd algorithm (KH) by combining KU/KA operator originated from cuckoo search algorith...
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Article
Arabic text clustering using improved clustering algorithms with dimensionality reduction
Arabic Text document clustering is an important aspect for providing conjectural navigation and browsing techniques by organizing massive amounts of data into a small number of defined clusters. However, Words...
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Article
A novel method for solving the fully neutrosophic linear programming problems
The most widely used technique for solving and optimizing a real-life problem is linear programming (LP), due to its simplicity and efficiency. However, in order to handle the impreciseness in the data, the ne...
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Article
An improved Lévy based whale optimization algorithm for bandwidth-efficient virtual machine placement in cloud computing environment
The consolidation of virtual machine (VM) is the strategy of efficient and intelligent use of cloud datacenters resources. One of the important subproblems of VM consolidation is VM placement problem. The main...
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Article
Novel probabilistic resource migration algorithm for cross-cloud live migration of virtual machines in public cloud
In cloud computing environment, cross-cloud live migration of virtual machines (VMs) is a major concern in these days. Cloud computing provides the users with huge, versatile and on-demand access to a bulk of ...
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Article
Solving 0–1 knapsack problem by binary flower pollination algorithm
In this paper, we propose a new binary version of the flower pollination algorithm (BFPA) for solving 0–1 knapsack problem. The standard flower pollination algorithm (FPA) is used for the continuous optimizati...
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Article
Flower pollination algorithm: a comprehensive review
Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its metaphor from flowers proliferation role in plants. This paper provides a comprehensive review of all issues rela...
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Article
2-Levels of clustering strategy to detect and locate copy-move forgery in digital images
Understanding is considered a key purpose of image forensic science in order to find out if a digital image is authenticated or not. It can be a sensitive task in case images are used as necessary proof as an ...
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Article
RETRACTED ARTICLE: Grid quorum-based spatial coverage for IoT smart agriculture monitoring using enhanced multi-verse optimizer
Wireless sensor networks (WSN) are the backbone in various modern Internet of Things (IoT) smart applications ranging from automated control, surveillance, forest fire detection, etc. One of the most important...
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Article
Resource levelling problem in construction projects under neutrosophic environment
Planning and managing resources is one of the most important topics in project management science. Resource leveling is used for improving work efficiency and minimizing cost throughout the life of the project...
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Article
A novel group decision making model based on neutrosophic sets for heart disease diagnosis
In a developed society, people have more concerned about their health. Thus, improvement of medical field application has been one of the greatest active study areas. Medical statistics show that heart disease...
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Article
A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection
The significant growth of modern technology and smart systems has left a massive production of big data. Not only are the dimensional problems that face the big data, but there are also other emerging problems...
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Article
A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems
Image segmentation is considered a crucial step required for image analysis and research. Many techniques have been proposed to resolve the existing problems and improve the quality of research, such as region...
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Article
Hybrid marine predators algorithm for image segmentation: analysis and validations
Naturally, to analyze an image accurately, all the similar objects within it should be separated to pay attention to the most important object for reaching more details and hence achieving better accuracy. The...
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Article
Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network
These days, the usage of the internet of Vehicle Things (IVoT) applications such as E-Business, E-Train, E-Ambulance has been growing progressively. These applications require mobility-aware delay-sensitive se...
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Article
A new fusion of whale optimizer algorithm with Kapur’s entropy for multi-threshold image segmentation: analysis and validations
The separation of an object from other objects or the background by selecting the optimal threshold values remains a challenge in the field of image segmentation. Threshold segmentation is one of the most popu...
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Article
Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems
Numerous optimization problems can be addressed using metaheuristics instead of deterministic and heuristic approaches. This study proposes a novel population-based metaheuristic algorithm called the Exponenti...
