This paper presents a new ensemble algorithm which combines two well-known algorithms particle swarm optimization (PSO) and differential evolution (DE). To avoid the suboptimal solutions occurring in the previous hybrid algorithms, in this study, an alternative mutation method is developed and embedded in the proposed algorithm. The population of the proposed algorithm consists of two groups which employ two independent updating methods (i.e. velocity updating method from PSO and mutative method from DE). By comparing with the previously generated population at the last generation, two new groups are generated according to the updating methods. Based on the alternative mutation method, the population is updated by the alternative selection according to the evaluation functions. To enhance the diversity of the population, the strategies of re-mutation, crossover, and selection are conducted throughout the optimization process. Each individual conducts the correspondent mutation and crossover strategies according to the parameter values randomly selected, and the parameter values of scaling factor and crossover probability will be updated accordingly throughout the iterations. Numerous simulations on twenty-five benchmark functions have been conducted, which indicates the proposed algorithm outperforms some well-exploited algorithms (i.e. inertia weight PSO, comprehensive learning PSO, and DE) and recently proposed algorithms (i.e. DE with the ensemble of parameters and mutation strategies and ensemble PSO).

Ensemble particle swarm optimization and differential evolution with alternative mutation method

With the arrival of the era of the Internet cloud, cloud service composition "explosive" increase brings on a typical NP hard problem of the cloud service selection, the problem can not be solved by the traditional method of integer programming or linear programming This paper introduces parallel discrete particle swarm optimization(PDPSO) algorithm, overcomes the limitation of the implementation technique based on classical optimization problem solving According to the load situation of itself and its neighbors, the cloud workflow engine reasonably decomposes the huge solution space of composite cloud service, and uses the Map/Reduce model to parallel the traditional particle swarm algorithm, and finds the optimal or suboptimal solution acceptable solution in polynomial time or near polynomial time

Cloud service selection optimization method based on parallel discrete particle swarm optimization

Research of Hybrid Differential Evolution and Particle Swarm Optimization Algorithm Using Map Reduce to Schedule Tasks

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Xu Jun

Author Tools

Chat about Author

Papers

Research of Hybrid Differential Evolution and Particle Swarm Optimization Algorithm Using Map Reduce to Schedule Tasks