# Algorithms Inspired by Nature: A Survey

## TL;DR

This survey reviews nature-inspired algorithms that emulate natural processes to solve complex optimization problems, highlighting their effectiveness in tackling problems like Job Shop Scheduling.

## Contribution

It provides a comprehensive overview of various nature-inspired algorithms and heuristics, emphasizing their practical applications in solving complex optimization challenges.

## Key findings

- Algorithms effectively solve NP-hard problems
- Heuristics improve solution quality and efficiency
- Natural process models inspire innovative optimization methods

## Abstract

Nature is known to be the best optimizer. Natural processes most often than not reach an optimal equilibrium. Scientists have always strived to understand and model such processes.Thus, many algorithms exist today that are inspired by nature. Many of these algorithms and heuristics can be used to solve problems for which no polynomial time algorithms exist,such as Job Shop Scheduling and many other Combinatorial Optimization problems. We will discuss some of these algorithms and heuristics and how they help us solve complex problems of practical importance.