Adaptive differential evolution with a new joint parameter adaptation method
Differential evolution (DE) is a population-based metaheuristic algorithm that has been
proved powerful in solving a wide range of real-parameter optimization tasks. However, the …
proved powerful in solving a wide range of real-parameter optimization tasks. However, the …
Self-learning differential evolution algorithm for scheduling of internal tasks in cross-docking
D Buakum, W Wisittipanich - Soft Computing, 2022 - Springer
A novel self-learning differential evolution (SLDE) algorithm for addressing large-scale
internal tasks scheduling problems in cross-docking is proposed herein. The goal is to …
internal tasks scheduling problems in cross-docking is proposed herein. The goal is to …
Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning
With the increasing use of computer networks and distributed systems, network security and
data privacy are becoming major concerns for our society. In this paper, we present an …
data privacy are becoming major concerns for our society. In this paper, we present an …
A novel memetic framework for enhancing differential evolution algorithms via combination with Alopex local search
Differential evolution (DE) represents a class of population-based optimization techniques
that uses differences of vectors to search for optimal solutions in the search space. However …
that uses differences of vectors to search for optimal solutions in the search space. However …
Enhancing adaptive differential evolution algorithms with rank-based mutation adaptation
Differential evolution has many mutation strategies which are problem dependent. Some
Adaptive Differential Evolution techniques have been proposed tackling this problem. But …
Adaptive Differential Evolution techniques have been proposed tackling this problem. But …
Anomaly Detection in IoT Networks Using Differential Evolution and XGBoost
Abstract Internet of Things (IoT) is a valuable area that improves the standard of living that
cannot be achieved with the current traditional paradigm. With IoT, attack opportunities are …
cannot be achieved with the current traditional paradigm. With IoT, attack opportunities are …
Analysing knowledge transfer in SHADE via complex network
In this research paper a hybridization of two computational intelligence fields, which are
evolutionary computation techniques and complex networks (CNs), is presented. During the …
evolutionary computation techniques and complex networks (CNs), is presented. During the …