Optimizing deep transfer networks with fruit fly optimization for accurate diagnosis of diabetic retinopathy
M Wang, Q Gong, H Chen, G Gao - Applied Soft Computing, 2023 - Elsevier
It is crucial to develop a smart analytics system capable of accurately diagnosing diabetic
retinopathy. This research uses a new deep transfer network framework to diagnose …
retinopathy. This research uses a new deep transfer network framework to diagnose …
A systematic review on fruit fly optimization algorithm and its applications
Abstract Fruit Fly Optimization Algorithm (FOA) is a metaheuristic algorithm inspired by fruit
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …
An improved fruit fly optimization algorithm for continuous function optimization problems
This paper presents an improved fruit fly optimization (IFFO) algorithm for solving continuous
function optimization problems. In the proposed IFFO, a new control parameter is introduced …
function optimization problems. In the proposed IFFO, a new control parameter is introduced …
A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem
In this paper, a novel binary fruit fly optimization algorithm (bFOA) is proposed to solve the
multidimensional knapsack problem (MKP). In the bFOA, binary string is used to represent …
multidimensional knapsack problem (MKP). In the bFOA, binary string is used to represent …
Enhanced crow search algorithm for AVR optimization
This paper proposes an enhanced crow search algorithm (ECSA) for solving numerical and
real-life engineering problems. Novelties of the proposed method are fourfold:(1) addition of …
real-life engineering problems. Novelties of the proposed method are fourfold:(1) addition of …
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm
J Li, Q Pan, K Mao, PN Suganthan - Knowledge-Based Systems, 2014 - Elsevier
This paper presents an effective fruit fly optimisation algorithm (FOA) to solve the
steelmaking casting problem. First, we model the realistic problem as a hybrid flow shop …
steelmaking casting problem. First, we model the realistic problem as a hybrid flow shop …
Fruit fly optimization algorithm based on differential evolution and its application on gasification process operation optimization
J Niu, W Zhong, Y Liang, N Luo, F Qian - Knowledge-Based Systems, 2015 - Elsevier
The expression of the smell concentration judgment value is significantly important in the
application of the fruit fly optimization algorithm (FOA). The original FOA can only solve …
application of the fruit fly optimization algorithm (FOA). The original FOA can only solve …
A cloud model based fruit fly optimization algorithm
L Wu, C Zuo, H Zhang - Knowledge-Based Systems, 2015 - Elsevier
Abstract Fruit Fly Optimization Algorithm (FOA) is a new global optimization algorithm
inspired by the foraging behavior of fruit fly swarm. However, similar to other swarm …
inspired by the foraging behavior of fruit fly swarm. However, similar to other swarm …
Fruit fly optimization algorithm based on a hybrid adaptive-cooperative learning and its application in multilevel image thresholding
G Ding, F Dong, H Zou - Applied Soft Computing, 2019 - Elsevier
Multilevel thresholding is widely exploited in image processing, however, most of the
techniques are time-consuming. In this paper, we present a novel approach, multilevel …
techniques are time-consuming. In this paper, we present a novel approach, multilevel …
A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor
RM Rizk-Allah, RA El-Sehiemy, S Deb… - The Journal of …, 2017 - Springer
This paper addresses a novel multi-objective fruit fly optimization algorithm (MOFOA) for
solving multi-objective optimization problems. The essence of MOFOA lies in its having two …
solving multi-objective optimization problems. The essence of MOFOA lies in its having two …