Peak and Bad-Case Performance of Swarm and Evolutionary Optimization Algorithms
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 5425
Special Issue Editors
Interests: swarm and evolutionary computation; computational intelligence; optimization; computer networks
Special Issue Information
Dear Colleagues,
This Special Issue focuses on swarm intelligence and evolutionary computation algorithms in general. Being stochastic, these algorithms generate better or worse solutions by chance. As a rule, in scientific research, the average performance based on the arithmetic mean is reported and analyzed. In practice, these algorithms can and should be executed multiple times (possibly in parallel) and the probability of obtaining peak performance solutions then increases arbitrarily to high certainty. Due to the parallelization trends of computing elements in recent decades, this became particularly practical. On the other hand, some application scenarios might require very high probabilities of obtaining a solution of at least some minimally acceptable quality and this is where bad-case performance matters.
Experimental studies of peak or bad-case performance of algorithms that previously showed state-of-the-art average performance are welcome. Large comparisons of peak performance or bad-case performance of swarm intelligence and evolutionary computation algorithms are welcome too, and theoretical findings concerning peak performance or bad-case performance are also welcome. Finally, parameter tuning procedures for peak performance or bad-case performance are welcome as well.
Dr. Nikola Ivković
Dr. Matej Črepinšek
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- evolutionary computation
- swarm intelligence
- natural computation
- bioinspired optimization
- metaheuristics
- NP-hard
- NPO
- optimization
- stochastic algorithms
- soft computing
- computational intelligence
- peak performance
- bad-case performance
- probabilities in performance of stochastic algorithms
- confidence intervals
- multiple runs of swarm and evolutionary algorithms
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
