Scribd
Upload
49 views1 page

Introduction

The document discusses heuristic algorithms which find near-optimal solutions to problems by sacrificing optimality for speed. It also discusses swarm intelligence which uses decentralized agents interacting locally to solve complex problems, giving examples like particle swarm optimization and ant colony optimization.

Uploaded by

mmmm
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
49 views1 page

Introduction

The document discusses heuristic algorithms which find near-optimal solutions to problems by sacrificing optimality for speed. It also discusses swarm intelligence which uses decentralized agents interacting locally to solve complex problems, giving examples like particle swarm optimization and ant colony optimization.

Uploaded by

mmmm
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
You are on page 1/ 1

Introduction:

A heuristic algorithm is a method for finding near-optimal solutions to optimization problems.


However, such solutions are obtained by sacrificing optimality, completeness, accuracy, or precision
in exchange for speed. Heuristics can produce a solution on their own or provide a good baseline
when combined with optimization algorithms. When approximate solutions are sufficient but exact
solutions are computationally expensive, heuristic algorithms are frequently used.

Swarm Intelligence:

A swarm is a large group of homogeneous, simple agents that interact locally with one another and
with their environment, with no central control, allowing for the emergence of global interesting
behaviour. Swarm-based algorithms are a new family of nature-inspired, population-based
algorithms capable of producing low-cost, fast, and robust solutions to a variety of complex
problems.

Swarm Intelligence systems use a large number of agents that interact with one another and with
the environment on a local level. Swarm intelligence is a term that describes the collective behaviour
of decentralised systems and can be applied to both natural and artificial systems. The particle
swarm optimization algorithm, the ant colony optimization algorithm, and the artificial bee colony
algorithm are examples of specific algorithms for this class of system.

You might also like