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Multi-strategy Improved Seagull Optimization Algorithm
Aiming at the shortcomings of seagull optimization algorithm in the process of searching for optimization, such as slow convergence speed, low...
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Hybrid Strategies Based Seagull Optimization Algorithm for Solving Engineering Design Problems
The seagull optimization algorithm (SOA) is a meta-heuristic algorithm proposed in 2019. It has the advantages of structural simplicity, few...
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Simultaneous feeder reconfiguration, DSTATCOM allocation, and sizing using seagull optimization algorithm in unbalanced radial distribution systems
This paper introduces a planning mechanism for optimal feeder reconfiguration, DSTATCOM allocation, and sizing in unbalanced radial distribution...
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An Adaptive Fuzzy C Means with Seagull Optimization Algorithm for Analysis of WSNs in Agricultural Field with IoT
In recent years, the environmental monitoring in agriculture field is an essential required application. To achieve the environmental monitoring of...
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Optimized Machine Learning-Based Forecasting Model for Solar Power Generation by Using Crow Search Algorithm and Seagull Optimization Algorithm
Forecasting Solar Power is an important aspect for power trading companies. It helps in energy bidding, planning, and control. The challenge in...
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Sales Demand Forecasting in Car Industry Using Seagull Optimization Based Holt Winter and Quantile Regression Neural Network
Automobile manufacturing industry is at recent trend because people all over the globe requires automobile to support transportation. Due to increase...
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Oil Price Prediction Approach Using Long Short-Term Memory Network Tuned by Improved Seagull Optimization Algorithm
The prices of crude oil have a considerable effect on global economic activity. This makes forecasting crude oil prices one of the most interesting...
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Enhanced Seagull Optimization Algorithm Adapted for Artificial Neural Network Training
The learning process is one of the most difficult problems in the artificial neural networks. This task refers to the challenge of finding the...
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Multi-objective and Seagull Optimization Enabled Traffic Signal Controlling for Traffic Management in Cities
Traffic signal control is significant to solve the real world issues such as the fuel wastage, time wastage, environmental pollution, accidents due...
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Maiden Application of Seagull Optimization Algorithm for the Study of Load Frequency Control
In this paper, the application of the seagull optimization algorithm (SOA) is implemented for optimal load frequency control (LFC) of dual area...
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EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization
This study introduces the evolutionary multi-objective version of seagull optimization algorithm ( SOA ), entitled Evolutionary Multi-objective Seagull...
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AEOWOA: hybridizing whale optimization algorithm with artificial ecosystem-based optimization for optimal feature selection and global optimization
The process of data classification involves determining the optimal number of features that lead to high accuracy. However, feature selection (FS) is...
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Structural Parameters Design of Dual-Crystal Piezoelectric Beam Vibration Energy Harvesters for Rail Vehicles Based on Seagull Optimization Algorithm
The vibration energy collector of the dual-crystal piezoelectric beam structure can convert the mechanical vibration energy obtained by the running...
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Wind Driven Butterfly Optimization Algorithm with Hybrid Mechanism Avoiding Natural Enemies for Global Optimization and PID Controller Design
This paper presents a Butterfly Optimization Algorithm (BOA) with a wind-driven mechanism for avoiding natural enemies known as WDBOA. To further...
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An optimization method in wireless sensor network routing and IoT with water strider algorithm and ant colony optimization algorithm
A wireless sensor network is a wireless communication network, and each sensor node has several sensors to collect environmental information....
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Bamboo Forest Growth Optimization Algorithm for Night Image Enhancement
The Bamboo Forest Growth Optimization(BFGO) algorithm is an algorithm proposed by the growth law of bamboo forest, which has the advantages of fast...
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Binary arithmetic optimization algorithm for feature selection
Feature selection, widely used in data preprocessing, is a challenging problem as it involves hard combinatorial optimization. So far some...
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Weapon–Target Assignment Using a Whale Optimization Algorithm
The weapon-target assignment (WTA) is a well-known task distribution issue in complicated combinational optimization, which is essential to...
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Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction
Emotion analysis is of great practical significance in the aspects of network control, public opinion monitoring and public sentiment guidance. In...
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Evaluation of the absolute forms of cost functions in optimization using a novel evolutionary algorithm
Many ordinary approaches in optimization are mathematical-based. Due to the limitations of such methods, optimal problems have been commonly defined...
