Low complexity metaheuristics for joint ML estimation problems
DOI10.1016/j.amc.2013.12.103zbMath1410.90280OpenAlexW1976048205MaRDI QIDQ1644071
V. P. Thafasal Ijyas, S. M. Sameer
Publication date: 21 June 2018
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2013.12.103
particle swarm optimization (PSO)orthogonal frequency division multiple access (OFDMA)metaheuristic algorithmsartificial bee colony algorithm (ABC)bat algorithm (BA)differential search algorithm (DS)firefly algorithm (FA)
Point estimation (62F10) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)
Uses Software
Cites Work
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- An improved harmony search algorithm for solving optimization problems
- A novel approach to HMM-based speech recognition systems using particle swarm optimization
- A hybrid method combining continuous tabu search and Nelder--Mead simplex algorithms for the global optimization of multiminima functions
- Frequency assignment problem in satellite communications using differential evolution
- A survey on metaheuristics for stochastic combinatorial optimization
- Cyber swarm algorithms - improving particle swarm optimization using adaptive memory strategies
- An adaptive parameter tuning of particle swarm optimization algorithm
- A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
- Backtracking search optimization algorithm for numerical optimization problems
- Tabu search directed by direct search methods for nonlinear global optimization
- A New Metaheuristic Bat-Inspired Algorithm
- Firefly Algorithms for Multimodal Optimization
- Separable nonlinear least squares: the variable projection method and its applications
- Maximum likelihood localization of multiple sources by alternating projection
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