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Detection on early dynamic rumor influence and propagation using biogeography-based optimization with deep learning approaches
The far and wide distribution of innumerable rumors and fake news have been a serious threat to the truthfulness of microblogs. The earlier works...
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A supercomputing method for large-scale optimization: a feedback biogeography-based optimization with steepest descent method
To apply biogeography-based optimization (BBO) to large scale optimization problems, this paper proposes a novel BBO variant based on feedback...
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Biogeography Based Band Selection for Hyperspectral Image Classification
Hyperspectral image classification is a widely researched topic in the field of remote sensing. In this context, dimensionality reduction plays an...
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TDMBBO: a novel three-dimensional migration model of biogeography-based optimization (case study: facility planning and benchmark problems)
The ability to respond quickly to emergency patients depends on the distribution of ambulance stations. Therefore, the location of these stations is...
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Analysis and Applications of Biogeography Based Optimization Techniques for Problem Solving
Computational intelligence helps in detecting erroneous decisions and fastens the whole process of decision making by applying various techniques. In...
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A novel approach for face recognition using biogeography based optimization with extinction and evolution
Evolutionary algorithms are one of the most emerging fields in pattern recognition and many computationally complex problems can be solved using...
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Elephant herding optimization using dynamic topology and biogeography-based optimization based on learning for numerical optimization
With the increasing complexity of optimization problems in the real world, more and more intelligent algorithms are used to solve these problems....
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Distance optimization and directional overcurrent relay coordination using edge-powered biogeography-genetic algorithms
The effective functioning and regulation of power systems crucially rely on the coordination of distance and directional overcurrent relays. Accurate...
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Edge server placement and allocation optimization: a tradeoff for enhanced performance
Considering the expansion of the Internet of Things (IoT) and the volume of data and user requests, Mobile Edge Computing (MEC) is considered a novel...
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Enhanced multi-objective virtual machine replacement in cloud data centers: combinations of fuzzy logic with reinforcement learning and biogeography-based optimization algorithms
The process of remap** virtual machines (VMs) to host machines (HMs), which is defined as VM replacement, affects cloud data centers (DCs)...
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Hybrid Biogeography-Based Optimization Algorithm for Job Shop Scheduling Problem with Time Lags and Single Transport Robot
We are interesting for the Job shop Scheduling Problem with Time Lags and Single Transport Robot (JSPTL-STR). This problem is a new extension of the...
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel...
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A novel hybrid algorithm based on arithmetic optimization algorithm and particle swarm optimization for global optimization problems
Arithmetic optimization algorithm (AOA) is a meta-heuristic optimization method based on mathematical operators proposed in recent years. Although it...
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Bat-Inspired Biogeography-Based Optimization Algorithm for Smoothly UAV Track Planning Using Bezier Function
With the extensive applications of Unmanned Aerial Vehicle (UAV), traditional approaches such as Artificial Potential Field and A-star for UAV track...
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A novel hybrid optimization algorithm: Dynamic hybrid optimization algorithm
Nowadays, many algorithms are invented with different strengths and weaknesses, none of which is the best for all cases. Herein, a hybrid...
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Dynamic scheduling of tasks in cloud computing applying dragonfly algorithm, biogeography-based optimization algorithm and Mexican hat wavelet
Cloud computing maps tasks to resources in a scalable fashion. The scheduling is an NP-hard problem; thus, the scheduler chooses one solution from...
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Hybrid biogeography-based optimization with enhanced mutation and CMA-ES for global optimization problem
In recent years, scheduling problems have attracted enormous attentions from practitioners and researches in manufacturing systems, for instance, the...
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Application of improved hybrid whale optimization algorithm to optimization problems
The Whale Optimization Algorithm (WOA) is one of the recent meta-heuristic algorithms. WOA has advantages such as an exploration mechanism that leads...
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Lotus effect optimization algorithm (LEA): a lotus nature-inspired algorithm for engineering design optimization
Here we introduce a new evolutionary algorithm called the Lotus Effect Algorithm, which combines efficient operators from the dragonfly algorithm,...
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BPSO based neural network approach for content-based face retrieval
This study presents Biogeography Particle Swarm Optimization with Neural Network, which is based on Content-Based Image Retrieval and is used to...
