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A Novel Smell Agent Optimization (SAO): An extensive CEC study and engineering application
This paper presents an extensive study of a new metaheuristics algorithm called Smell
Agent Optimization (SAO) on some CEC numerical optimization benchmark functions and …
Agent Optimization (SAO) on some CEC numerical optimization benchmark functions and …
Trajectory planning of autonomous mobile robots applying a particle swarm optimization algorithm with peaks of diversity
This paper presents a new quantum-behaved particle swarm optimization (QPSO) algorithm
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …
Quantum-inspired firefly algorithm integrated with cuckoo search for optimal path planning
The firefly algorithm and cuckoo search are the meta-heuristic algorithms efficient to
determine the solution for the searching and optimization problems. The current work …
determine the solution for the searching and optimization problems. The current work …
Enhanced chameleon swarm algorithms for nested identical control of load frequency in autonomous microgrid
whiteThis paper presents a whitenovel Nested Identical Control (NIC) whitemethod for load
frequency control of multi-area microgrid systems employing two novel variants of the …
frequency control of multi-area microgrid systems employing two novel variants of the …
A neuro-enhanced Duhem model and parameter identification using a modified gorilla troops optimizer for generic piezoelectric hysteresis response
The positioning precision of piezoelectric actuator is closely related to the modeling of
hysteresis nonlinearity and the parameter identification. In order to accurately characterize …
hysteresis nonlinearity and the parameter identification. In order to accurately characterize …
A modified aquila optimizer with wide plant adaptability for the tuning of optimal fractional proportional–integral–derivative controller
The heuristic tuning method of fractional-order proportional–integral–derivative (FOPID)
control systems lacks robustness, and its performance often changes with specific controlled …
control systems lacks robustness, and its performance often changes with specific controlled …
[PDF][PDF] Q-Learning-Based Dumbo Octopus Algorithm for Parameter Tuning of Fractional-Order PID Controller for AVR Systems
The tuning of fractional-order proportional-integral-derivative (FOPID) controllers for
automatic voltage regulator (AVR) systems presents a complex challenge, necessitating the …
automatic voltage regulator (AVR) systems presents a complex challenge, necessitating the …
[PDF][PDF] A robotic path planning by using crow swarm optimization algorithm
One of the most common problem in the design of robotic technology is the path planning.
The challenge is choosing the robotics' path from source to destination with minimum cost …
The challenge is choosing the robotics' path from source to destination with minimum cost …
Techo-Economic Optimization of Hybrid Renewable Energy Resources for Electrical Power Generation: A Case Study Jibia General Hospital
The gradual depletion of non-renewable energy sources accompanied by their social,
economical and environmental issues has given rise to the adaptation of renewable energy …
economical and environmental issues has given rise to the adaptation of renewable energy …
Hybrid Optimization of Smell Agent Optimization Algorithm with Cultural Algorithm
This paper proposes combining Small Agent Optimization (SAO) with the Cultural
Optimization (CA) algorithm. This hybridization results in the development of four new …
Optimization (CA) algorithm. This hybridization results in the development of four new …