Search Results - (( problem applying firefly algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- implication based »
- problem applying »
- java implication »
-
1
-
2
Hybrid of firefly algorithm and pattern search for solving optimization problems
Published 2018“…Firefly algorithm (FA) is a newly introduced meta-heuristic, nature-inspired, stochastic algorithm for solving various types of optimization problems. …”
Get full text
Get full text
Article -
3
-
4
Mutable composite firefly algorithm for gene selection in microarray based cancer classification
Published 2022“…This leads to the classification accuracy and genes subset size problem. Hence, this study proposed to modify the Firefly Algorithm (FA) along with the Correlation-based Feature Selection (CFS) filter for the gene selection task. …”
Get full text
Get full text
Thesis -
5
Firefly combinatorial testing strategy
Published 2019“…Firefly Algorithm (FA) had been applied to solve many of optimization problems. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Optimal power flow using hybrid firefly and particle swarm optimization algorithm
Published 2020“…In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Optimization (HFPSO) algorithm is applied to solve different non-linear and convex optimal power flow (OPF) problems. …”
Get full text
Get full text
Get full text
Article -
7
Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm
Published 2020“…In this paper, a multi-objective hybrid firefly and particle swarm optimization (MOHFPSO) was proposed for different multi-objective optimal power flow (MOOPF) problems. …”
Get full text
Get full text
Article -
8
Task allocation in production systems using firefly algorithm / Nurhani Zawani Zulkifli
Published 2020“…Therefore, from the above matter, this study will solve the Simple Assembly Line Balancing Problem Type 1 (SALBP-1) by minimizing the number of workstations to complete all tasks based on the given cycle time and task time using firefly algorithm. …”
Get full text
Get full text
Thesis -
9
SINR improvement using Firefly Algorithm (FA) for Linear Constrained Minimum Variance (LCMV) beamforming technique
Published 2023Conference Paper -
10
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…Finally, a crowding distance and non-dominated-sorting-based multi-objective hybrid firefly & particle swarm optimization (MOHFPSO) algorithm is designed for MOOPF problems. …”
Get full text
Get full text
Thesis -
11
Optimum Power Production of Small Hydropower Plant (SHP) Using Firefly Algorithm (FA) in Himreen Lake Dam (HLD), Eastern Iraq
Published 2017“…This study focuses on the improvement of optimization model by applying particle swarm optimization and firefly algorithm methods in order to get a stable power production utility at its maximum level. …”
Get full text
Get full text
Get full text
Article -
12
Finding shortest routing solution in mobile AD HOC networks using firefly algorithm and queuing network analysis
Published 2015“…In this paper, the author has proposed an approach, which selects shortest route for transferring the packets of data from source node to the destination node combining firefly algorithmand queuing network analysis. Firefly algorithm can be applied to find the shortest route in this routing problem. …”
Get full text
Get full text
Article -
13
Adaptive emergency evacuation centre management for dynamic relocation of flood victims using firefly algorithm
Published 2016“…The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre. …”
Get full text
Get full text
Get full text
Article -
14
-
15
Enhancement of simultaneous network reconfiguration and DG sizing via Hamming dataset approach and firefly algorithm
Published 2019“…Explicit radiality verification is proposed based on Hamming dataset approach to significantly reduce the search space and the computational time, as well as to improve the quality of the solution. Subsequently, firefly algorithm is applied to attain near-optimal solution for NR and DG size. …”
Get full text
Get full text
Article -
16
Handbook of Research on Artificial Intelligence Techniques and Algorithms
Published 2014“…This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. …”
Get full text
Get full text
Book -
17
The design and applications of the african buffalo algorithm for general optimization problems
Published 2017“…Moreover, the ABO algorithm was applied to solve over 100 out of the 118 benchmark symmetric and all the asymmetric travelling salesman’s problems available in TSPLIB95. …”
Get full text
Get full text
Thesis -
18
Optimization of RFID network planning using MDB-FA method
Published 2017“…Monte Carlo simulation (MCS) is used to generate tag distribution based on network topology design modules as a method to evaluate the deterministic indicators in NP-hard problems. The generated data are utilized as an input representation to apply into firefly algorithm based on Density-Based Algorithm (DBSCAN) to find the optimal network solution. …”
Get full text
Get full text
Article -
19
A review of training methods of ANFIS for applications in business and economic
Published 2016“…Mostly Particle Swarm Optimization (PSO) and its variants have been applied for training approaches used. Other than that, Genetic Algorithm (GA), Firefly Algorithm (FA), Ant Bee Colony (ABC) optimization methods have been employed for effective training of ANFIS networks when solving various problems in the field of business and finance.…”
Get full text
Get full text
Article -
20
A review of training methods of ANFIS for applications in business and economics
Published 2016“…Mostly Particle Swarm Optimization (PSO) and its variants have been applied for training approaches used. Other than that, Genetic Algorithm (GA), Firefly Algorithm (FA), Ant Bee Colony (ABC) optimization methods have been employed for effective training of ANFIS networks when solving various problems in the field of business and finance.…”
Get full text
Get full text
Get full text
Article
