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 …

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 …

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 …

A novel hybrid shuffled frog lea** algorithm for vehicle routing problem with time windows

J Luo, X Li, MR Chen, H Liu - Information Sciences, 2015 - Elsevier
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 …

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 …

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 …

An improved shuffled frog-lea** algorithm with extremal optimisation for continuous optimisation

X Li, J Luo, MR Chen, N Wang - Information Sciences, 2012 - Elsevier
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 …