Soft computing is the use of approximate calculations to provide imprecise but usable solutions to complex computational problems. The approach enables solutions for problems that may be either unsolvable or just too time-consuming to solve with current hardware. Soft computing is sometimes referred to as computational intelligence.

Soft computing provides an approach to problem-solving using means other than computers. With the human mind as a role model, soft computing is tolerant of partial truths, uncertainty, imprecision and approximation, unlike traditional computing models. The tolerance of soft computing allows researchers to approach some problems that traditional computing can't process.

• It does not require any mathematical modeling for solving any given problem
• It gives different solutions when we solve a problem of one input from time to time
• Uses some biologically inspired methodologies such as genetics, evolution, particles swarming, the human nervous system, etc.
• Adaptive in nature.

Branches of Soft Computing

Soft Computing consists of numerous techniques that study the biological processes such as reasoning, genetic evolution, survival of the creatures and human nervous system. SC is an umbrella term that thoroughly study the simulation of reasoning, human nervous system and evolution in different fields

1. Fuzzy Logic
2. Neural Network
3. Evolutionary Computation

APPLICATION SOFT COMPUTING

• Consumer appliance like AC, Refrigerator, Heaters, Washing machine.  Robotic works in the form of Emotional Pet robots
• Architectures Engineering
• Applied Mathematics Engineering
• Intelligent Instrumentation
• Turning for Cutting Tools

Genetic Algorithm in Soft Computing

The genetic algorithm was introduced by Prof. John Holland in 1965. It is used to solve problems based on principles of natural selection that come under evolutionary algorithm. They are usually used for optimization problems like maximization and minimization of objective functions, which are of two types of an ant colony and swarm particle. It follows biological processes like genetics and evolution.

Applications

The following are the applications of soft computing

• Controls motors like induction motor, DC servo motor automatically
• Power plants can be controlled using an intelligent control system
• In image processing, the given input can be of any form, either image or video which be manipulated using soft computing to get an exact duplicate of the original image or video.
• In biomedical applications where it is closely related to biology and medicine, soft computing techniques can be used to solve biomedical problems like diagnosis, monitoring, treatment, and therapy.

Soft Computing vs Hard Computing

1. The biological processes fascinated scientists to solve real world problems by simulating the processes to robust algorithms and solve problems like a human mind in uncertain environment with limited information whereas the conventional algorithms (hard computing) fail to solve due to the strict principles. For example, conventional algorithms fail when input is not known/exact whereas SC deals with inexact information and generate a nearly optimal solution for the problem.
2. The conventional algorithms strictly follow a specific set of known steps to solve a task whereas SC techniques are heuristics.

The journal invites different types of articles including original research article, review articles, short note communications, case reports, Editorials, letters to the Editors and expert opinions & commentaries from different regions for publication.

A standard editorial manager system is utilized for manuscript submission, review, editorial processing and tracking which can be securely accessed by the authors, reviewers and editors for monitoring and tracking the article processing. Manuscripts can be uploaded online at Editorial Tracking System (https://www.longdom.org/editorial-tracking/publisher.php) or forwarded to the Editorial Office at https://www.longdom.org/swarm-intelligence-evolutionary-computation.html The Journals includes around 150Abstracts and 100 Keynote speakers have given their valuable words. The meet has provided a great scope for interaction of professionals including in addition to clinical experts and top-level pathologists and scientists from around the globe, on a single platform.

Media Contact:

Sarah Rose

Journal Manager

International journal of swarm intelligence and evolutionary computation

Email: evolcomput@journalres.org