Slime mould algorithm: A comprehensive survey of its variants and applications
Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …
fields, such as science and engineering, in solving optimization problems. These algorithms …
Deep clustering of Lagrangian trajectory for multi-task learning to energy saving in intelligent buildings using cooperative multi-agent
The intelligent buildings provided various incentives to get highly inefficient energy-saving
caused by the non-stationary building environments. In the presence of such dynamic …
caused by the non-stationary building environments. In the presence of such dynamic …
Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management
Chillers are responsible for almost half of the total energy demand in buildings. Hence, the
obligation of control systems of multi-chiller due to changes indoor environments is one of …
obligation of control systems of multi-chiller due to changes indoor environments is one of …
Advances in Slime Mould Algorithm: A Comprehensive Survey
The slime mould algorithm (SMA) is a new swarm intelligence algorithm inspired by the
oscillatory behavior of slime moulds during foraging. Numerous researchers have widely …
oscillatory behavior of slime moulds during foraging. Numerous researchers have widely …
An enhanced slime mould algorithm based on adaptive grou** technique for global optimization
L Deng, S Liu - Expert Systems with Applications, 2023 - Elsevier
When solving global optimization problems by metaheuristic algorithms (MAs), an important
issue is how to keep a balance between convergence and diversity. This article develops an …
issue is how to keep a balance between convergence and diversity. This article develops an …
Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings
The bang-bang relays of the multiple-boiler system (MBS) control, are characterized by
complex limiter saturation functions and classified as fixed parameters. Their action signals …
complex limiter saturation functions and classified as fixed parameters. Their action signals …
Improved slime mould algorithm based on hybrid strategy optimization of Cauchy mutation and simulated annealing
X Zhang, Q Liu, X Bai - PLoS One, 2023 - journals.plos.org
In this article, an improved slime mould algorithm (SMA-CSA) is proposed for solving global
optimization and the capacitated vehicle routing problem (CVRP). This improvement is …
optimization and the capacitated vehicle routing problem (CVRP). This improvement is …
A novel approach for optimal energy resources mixing in nuclear-renewable microgrids using probabilistic energy modelling method
Zero-carbon energy infrastructure design has become one of the most consequential pivotal
toward sustainable development. This article introduces a novel approach to energy …
toward sustainable development. This article introduces a novel approach to energy …
Bivariate simulation of river flow using hybrid intelligent models in sub-basins of Lake Urmia, Iran
In this study, the performance of continuous autoregressive moving average (CARMA),
CARMA-generalized autoregressive conditional heteroscedasticity (CARMA-GARCH) …
CARMA-generalized autoregressive conditional heteroscedasticity (CARMA-GARCH) …
Spectral transient-based multiple leakage identification in water pipelines: An efficient hybrid gradient-metaheuristic optimization
In transient-based leak detection (TBLD), the localization of multiple leaks from the
measurement data of a few stations is challenging. Recent studies have made …
measurement data of a few stations is challenging. Recent studies have made …