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Parallel Problem Solving from Nature

Parallel Problem Solving from Nature is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Parallel Problem Solving from Nature rather than just read about it. In short: Parallel Problem Solving from Nature (PPSN) is a peer-reviewed research conference focusing on the topic of natural computing. As such it includes a wide scope of computer science.

Parallel Problem Solving from Nature — main illustration
Parallel Problem Solving from Nature — illustration

Key takeaways

  • Parallel Problem Solving from Nature belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Parallel Problem Solving from Nature to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Parallel Problem Solving from Nature from memory before moving on to harder problems.

Reference excerpt

Parallel Problem Solving from Nature (PPSN) is a peer-reviewed research conference focusing on the topic of natural computing. As such it includes a wide scope of computer science. It originated in 1990 and has been held biennially across European locations ever since. Papers selected for PPSN conferences are presented as posters and published in proceedings in the Springer Lecture Notes in Computer Science series. PPSN conferences also include presentations by keynote speakers representing diverse viewpoints in the field, tutorials given by experts, and workshops for discussion of topics that may not be fully represented in the main conference. These activities that should advance the field of natural computing probably explain why PPSN gained an A-ranking in the 2023 CORE computer science conference ranking system, reflecting its importance as a venue in which computer science researchers can participate.

Origin The idea behind PPSN emerged around 1989-1990 when Bernard Manderick, Reinhard Männer, Heinz Mühlenbein, and Hans-Paul Schwefel, realised they shared a common field of study that was not covered by the conferences on Operations Research, Physics, or Computer Science they attended regularly. The field of genetic algorithms had already been established in the form of the ICGA conference in 1985, but the founders of PPSN wanted a wider focus, with algorithms that included problem solving, parallel computing and the use of natural metaphors (such as Darwinian evolution or Boltzmann dynamics). The success of the first PPSN event at Dortmund encouraged its organisers to start a biennial conference series, as a European counterpart to the American-based ICGA (which in 1999 merged with the Genetic Programming conference to give rise to GECCO). Analogies to natural processes included the thermodynamic process of annealing, immune systems and neural networks, as well as other paradigms, with Darwinian evolution being by far the most frequently used metaphor. In this way, evolutionary algorithms and evolutionary computation became the common denominator for the PPSN approach to problem solving by mimicking biological principles like populations, birth, death, mutation, recombination, and natural selection.

History So far, eighteen PPSN conferences have been held. The table below describes their dates, locations and cites their websites and proceedings, where accessible. The importance of Dortmund, as the location of the Technical University of Dortmund (de:Technische Universität Dortmund), where the conference originated, as the location of many successor conferences and as the location of on-going relevant research, should not be understated.

Organisation Each PPSN conference as any peer-reviewed research conference requires a substantial amount of organisation. The organisers are people from the research community covered by the conference. Due to the long history of the conference it is not possible to present all organisers of all conferences. For some recent conferences the organisers can be identified from the conference website. For other recent conferences where the website is no longer available the conference organisers are listed in the Table of Contents Front Matter of the Conference Proceedings. In the table below the main organisers of the most recent PPSN conferences are given. The sources of the information about organisation are cited adjacent to each year. Hans-Paul Schwefel, recognised for his founding role in PPSN conferences, has been Honorary Chair of the PPSN conferences from 2020 to 2024 listed below. It may be assumed that he will continue in that position during the forthcoming PPSN 2026, but that has not yet been confirmed. When PPSN was held in Leiden in 2020 Grzegorz Rozenberg was also an Honorary Chair. In addition to the organisers listed in the table below, there are others, whom may not always be recognised in each conference proceedings, or through the same title. Local Chairs or Local Support Chairs are very important to make sure that the conference takes place smoothly in the agreed venue. Some conferences have listed Technical Support Chairs or Online Conference Chairs. This will be important to ensure that the equipment in the venue works as expected. This may also have had particular importance in 2020 due the impact of the COVID-19 pandemic, requiring the conference to take place entirely online. Other organisers were not identified consistently across the three conferences that have completed below, nor in the one forthcoming. This does not imply that they were less important than those included in the table. These included a Keynote Chair, a Competition Chair, an Industrial Liaison Chair and a Social Media Chair. Not included in the table because of the very large number of people involved are the Programme Committee. Reporting to the Programme Committee Chairs, these are the people who carry out the peer-review process to ensure that PPSN conferences maintain a high standard of academic rigour. A full list of Programme Committee members can be found in the Table of Contents Front Matter of the PPSN conference proceedings following the list of conference organisers given in the Organization section.

Format Each Parallel Problem Solving from Nature (PPSN) conference includes a variety of activities to update and inform participants about the latest trends in natural computing. Since each conference is biennial a lot may have changed since the last one. Keynote speakers are invited to each conference to give expert lectures on particular topics in the field. Peer-reviewed papers are presented as posters to give a very broad view of the subjects covered by the conference. Time is available for workshops to allow discussion of topics that may not be included in the main conference. In order to enable participants to learn about some topics included in the very broad range of topics that PPSN covers, time is also allowed for tutorials.

Keynote speakers The diversity of subjects that the conference covers means that it has attracted a wide range of keynote speakers in natural computing and related areas. Keynote speakers are listed on PPSN conference websites, or if the website is not available, in the Table of Contents Front Matter of the Conference Proceedings. (An inline reference is made to that in the 2022 Conference Proceedings in the table below as an example.).

… excerpt ends here. Continue reading the full article.

Illustrations

Parallel Problem Solving from Nature illustration

Worked examples

Example 1 — a first encounter with Parallel Problem Solving from Nature

Start with the simplest possible case. Write down what Parallel Problem Solving from Nature claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Parallel Problem Solving from Nature before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Parallel Problem Solving from Nature ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Parallel Problem Solving from Nature

In research
Parallel Problem Solving from Nature appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Parallel Problem Solving from Nature in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Parallel Problem Solving from Nature is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computer science conferences, Evolutionary computation conferences, Recurring events established in 1990, so understanding it makes those chapters shorter.
In everyday life
Look for Parallel Problem Solving from Nature outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Parallel Problem Solving from Nature in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Parallel Problem Solving from Nature means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Parallel Problem Solving from Nature out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Parallel Problem Solving from Nature in simple terms?

Parallel Problem Solving from Nature (PPSN) is a peer-reviewed research conference focusing on the topic of natural computing. As such it includes a wide scope of computer science.

Why does Parallel Problem Solving from Nature matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Parallel Problem Solving from Nature?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Parallel Problem Solving from Nature.

Tags

  • Computer science conferences
  • Evolutionary computation conferences
  • Recurring events established in 1990
  • Science conferences

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