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The Artificial Fish Swarm Algorithm Improved by Fireworks Algorithm
AbstractThe artificial fish swarm algorithm can achieve good convergence effects in the early stage, but in the late stage, the algorithm has the...
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FOA: fireworks optimization algorithm
In this paper, a novel meta-heuristic algorithm called Fireworks Optimization Algorithm (FOA) is introduced with few control parameters for discrete...
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A novel compact fireworks algorithm for solving ontology meta-matching
Ontology, presentation of the world clearly, is a conceptualized and formalized model of knowledge. Knowledge interpretation is subjective,...
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A hybrid ant colony optimization with fireworks algorithm to solve capacitated vehicle routing problem
The Capacitated Vehicle Routing Problem (CVRP) is a classical combinatorial optimization problem, which objective is to minimize the vehicle travel...
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Beacon Localization Method Based on Flower Pollination-Fireworks Algorithm
Urban warfare environments are complex, highly concealed, and dangerous, particularly with the strong unknowns present in indoor environments.... -
GEFWA: Gradient-Enhanced Fireworks Algorithm for Optimizing Convolutional Neural Networks
The efficacy of evolutionary and swarm intelligence-based black-box optimization algorithms in machine learning has increased their usage, but... -
An enhanced multi-objective fireworks algorithm for task scheduling in fog computing environment
With the rapid advancements in processing and storage technology along with the popularity of the internet, computing capabilities have become more...
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A bi-objective task scheduling approach in fog computing using hybrid fireworks algorithm
With the rapid increase in the functionality of IoT applications, the services provided by edge/IoT devices have surged in the recent past. Fog...
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Non-dominated Sorting Based Fireworks Algorithm for Multi-objective Optimization
Multi-objective optimization is one of the most important problem in the mathematical optimization. Some researchers have already proposed several... -
Enhancing Fireworks Algorithm in Local Adaptation and Global Collaboration for Solving ICSI 2022 Benchmark Problems
Fireworks algorithm is a swarm intelligence optimization algorithm with superior performance, which can be used to solve various practical... -
Adaptive collaborative optimization of traffic network signal timing based on immune-fireworks algorithm and hierarchical strategy
In contemporary urban areas, the construction speed of urban roads lags far behind the growth rate of the number of vehicles. The traffic delay...
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Evolutionary dynamic grou** based cooperative co-evolution algorithm for large-scale optimization
AbstractTo effectively address large-scale optimization problems, this paper proposes an evolutionary dynamic grou** (EDG) based cooperative...
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UAV Path Planning Based on Hybrid Differential Evolution with Fireworks Algorithm
This paper considers the unmanned aerial vehicle (UAV) global path planning as an optimization problem with constraints and proposes a hybrid... -
Enhanced long short-term memory with fireworks algorithm and mutation operator
Prediction models are used to prevent and prepare for corresponding events according to various types of data generated in production. Aiming at the...
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An Improved Fireworks Algorithm for Integrated Flight Timetable and Crew Schedule Recovery Problem
Abnormal flights, which deviate from their scheduled plans, incurred huge costs for airlines and serious inconvenience for passengers. This... -
Economic Dispatch Optimization for Microgrid Based on Fireworks Algorithm with Momentum
As an efficient organization form of distributed energy resources with high permeability, microgrid (MG) is recognized as a promising technology with... -
Enhancing Fireworks Algorithm in Local Adaptation and Global Collaboration
In order to improve the performance of fireworks algorithm, this paper carries out a comprehensive enhancement for its framework. Locally, the basic... -
Performance Analysis of the Fireworks Algorithm Versions
In the last decades, swarm intelligence algorithms have become a powerful tool for solving hard optimization problems. Nowadays numerous algorithms... -
Region Selection with Discrete Fireworks Algorithm for Person Re-identification
Various hand-crafted features with metric learning methods have improved the person re-identification (Re-ID) accuracy. Metric learning methods for... -
PSO–FWA: A New Hybrid Algorithm for Solving Nonlinear Equation Systems
Nature-inspired optimization algorithms have been proposed for solving hard optimization problems, including the optimization-based solution of...