Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[PDF][PDF] A review of population-based meta-heuristic algorithms
Exact optimization algorithms are not able to provide an appropriate solution in solving
optimization problems with a high-dimensional search space. In these problems, the search …
optimization problems with a high-dimensional search space. In these problems, the search …
A review of particle swarm optimization
This paper presents an overview of the research progress in Particle Swarm Optimization
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …
New binary whale optimization algorithm for discrete optimization problems
The whale optimization algorithm (WOA) is an intelligence-based technique that simulates
the hunting behaviour of humpback whales in nature. In this article, an adaptation of the …
the hunting behaviour of humpback whales in nature. In this article, an adaptation of the …
A wrapper‐based feature selection for improving performance of intrusion detection systems
Along with expansion in using of Internet and computer networks, the privacy, integrity, and
access to digital resources have been faced with permanent risks. Due to the unpredictable …
access to digital resources have been faced with permanent risks. Due to the unpredictable …
A binary moth search algorithm based on self-learning for multidimensional knapsack problems
A key issue for moth search algorithm (MS) is the ability to maintain sufficient diversity in the
population so as to be able to track a dynamically changing landscape. However, for the …
population so as to be able to track a dynamically changing landscape. However, for the …
Memory based hybrid crow search algorithm for solving numerical and constrained global optimization problems
Abstract Crow Search Algorithm (CSA) is a promising meta-heuristic method developed
based on the intelligent conduct of crows in nature. This algorithm lacks a good …
based on the intelligent conduct of crows in nature. This algorithm lacks a good …
A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO
Many real-world problems belong to the family of discrete optimization problems. Most of
these problems are NP-hard and difficult to solve efficiently using classical linear and …
these problems are NP-hard and difficult to solve efficiently using classical linear and …
A hybrid quantum particle swarm optimization for the multidimensional knapsack problem
In this paper we propose a new hybrid heuristic approach that combines the Quantum
Particle Swarm Optimization technique with a local search method to solve the …
Particle Swarm Optimization technique with a local search method to solve the …
Memetic binary particle swarm optimization for discrete optimization problems
In recent decades, many researchers have been interested in algorithms inspired by the
observation of natural phenomena to solve optimization problems. Among them, meta …
observation of natural phenomena to solve optimization problems. Among them, meta …
A time-varying mirrored S-shaped transfer function for binary particle swarm optimization
Binary Particle swarm optimization (BPSO) is one of the most popular swarm intelligence
algorithms to solve binary optimization problems. It has a few parameters, simple structure …
algorithms to solve binary optimization problems. It has a few parameters, simple structure …