Everything About ___
Live briefing

Everything about Soft computing

Types of approximate algorithm

Soft computing is an umbrella term used to describe types of algorithms that produce approximate solutions to unsolvable high-level problems in computer science. Typically, traditional hard-computing algorithms heavily rely on concrete data and mathematical models to produce solutions to problems. Soft computing was coined in the late 20th century. During this period, revolutionary research in three fields greatly impacted soft computing. Fuzzy logic is a computational paradigm that entertains the uncertainties in data by using levels of truth rather than rigid 0s and 1s in binary. Next, neural networks which are computational models influenced by human brain functions. Finally, evolutionary computation is a term to describe groups of algorithm that mimic natural processes such as evolution and natural selection. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Soft computingA 5-minute orientation
  2. Skim a recent paper: Energy efficiency in cloud computing data centers: a survey on software technologiesInfluential work since 2022
  3. Pick up a classic book: Artificial Intelligence and Soft ComputingThe most-reprinted book on the subject
  4. Read the landmark paper: Software for Computing and Annotating Genomic RangesCited 4,800 times
  5. Go sideways: Computational intelligenceA closely related topic
  6. Go sideways: Lateral computingA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. History
  2. Computational techniques
  3. Applications
  4. Challenges and limitations

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics