Bio inspired computing–a review of algorithms and scope of applications
AK Kar - Expert Systems with Applications, 2016 - Elsevier
With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …
Survey of robot 3D path planning algorithms
L Yang, J Qi, D Song, J **_algorithm_Optimal_performance_design_and_feature_selection/links/62c4537c721b9c41cc309138/Simulated-annealing-based-dynamic-step-shuffled-frog-lea**-algorithm-Optimal-performance-design-and-feature-selection.pdf" data-clk="hl=ar&sa=T&oi=gga&ct=gga&cd=2&d=13267861166415948448&ei=0BuvZ7bCKKW26rQPh6S4-AM" data-clk-atid="oCpsSW_pILgJ" target="_blank">[PDF] researchgate.net
Simulated annealing-based dynamic step shuffled frog lea** algorithm: Optimal performance design and feature selection
The shuffled frog lea** algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …
combinatorial optimization problem, which effectively combines the memetic algorithm …
Integrated neural networks based on feature fusion for underwater target recognition
Q Zhang, L Da, Y Zhang, Y Hu - Applied Acoustics, 2021 - Elsevier
Currently, traditional feature extraction algorithms have poor data expression and noise
robustness. Moreover, traditional recognition methods are gradually falling behind the …
robustness. Moreover, traditional recognition methods are gradually falling behind the …
An effective shuffled frog-lea** algorithm for multi-objective flexible job shop scheduling problems
J Li, Q Pan, S ** algorithm (HSFLA) for solving the
multi-objective flexible job shop scheduling problem. Three minimization objectives–the …
multi-objective flexible job shop scheduling problem. Three minimization objectives–the …
An effective shuffled frog-lea** algorithm for resource-constrained project scheduling problem
C Fang, L Wang - Computers & Operations Research, 2012 - Elsevier
In this paper, we propose an effective heuristic based on the framework of the shuffled frog-
lea** algorithm (SFLA) for solving the resource-constrained project scheduling problem …
lea** algorithm (SFLA) for solving the resource-constrained project scheduling problem …
A novel hybrid shuffled frog lea** algorithm for vehicle routing problem with time windows
This paper proposes a novel hybrid shuffled frog lea** algorithm (HSFLA) for vehicle
routing problem with time windows (VRPTW). The diversity control strategy is developed to …
routing problem with time windows (VRPTW). The diversity control strategy is developed to …
An improved shuffled frog-lea** algorithm with extremal optimisation for continuous optimisation
Several types of evolutionary computing methods are documented in the literature and are
well known for solving unconstrained optimisation problems. This paper proposes a hybrid …
well known for solving unconstrained optimisation problems. This paper proposes a hybrid …
A modified shuffled frog lea** algorithm for optimal tuning of multivariable PID controllers
TH Huynh - 2008 IEEE International Conference on Industrial …, 2008 - ieeexplore.ieee.org
This paper presents a modified shuffled frog lea** algorithm (SFLA) for optimal tuning of
proportional-integral-derivative (PID) controller gains for multivariable processes. The SFLA …
proportional-integral-derivative (PID) controller gains for multivariable processes. The SFLA …
Modified shuffled frog lea** algorithm with genetic algorithm crossover for solving economic load dispatch problem with valve-point effect
P Roy, P Roy, A Chakrabarti - Applied Soft Computing, 2013 - Elsevier
This paper addresses a hybrid solution methodology involving modified shuffled frog
lea** algorithm (MSFLA) with genetic algorithm (GA) crossover for the economic load …
lea** algorithm (MSFLA) with genetic algorithm (GA) crossover for the economic load …