Fundamentals of Optimization in Evolutionary Computing

Optimization aims to find the best possible answer(s) by searching for the optimal solution based on a comparison criterion.

The components of an optimization problem include the objective function, decision variables and search space, and constraints.

Minimization problems aim to minimize the objective function, while maximization problems aim to maximize the objective function.

<p>Root finding, regression and modeling, classification and clustering, and feature selection are examples of problems that can be converted to optimization problems.</p> Signup and view all the answers

<p>The types of optimization problems based on the number of objective functions include: single objective function with scalar output, single objective function with vector output, and multi-objective function with scalar output.</p> Signup and view all the answers

<p>Particle Swarm Optimization (PSO) is a nature-inspired metaheuristic algorithm based on swarm intelligence, where a set of agents collectively solve a problem in a distributed fashion by communicating with each other.</p> Signup and view all the answers

<p>The benefits of swarm intelligence include larger groups being louder and intimidating, predator confusion effect making it hard to focus on any one prey, swarms forming the entire background to avoid being spotted, and the ability to move quicker as a group to avoid air or water resistance. Additionally, many animals looking for food increases the likelihood of some finding it.</p> Signup and view all the answers

<p>Swarm Intelligence (SI) is a collective behavior of decentralized, self-organized systems, both natural and artificial, that is based on social-psychological principles and provides insights into social behavior.</p> Signup and view all the answers

<p>The collective behavior of Swarm Intelligence (SI) involves a set of (mobile) agents communicating directly or indirectly with each other to collectively solve a problem in a distributed fashion.</p> Signup and view all the answers

<p>Nature-inspired algorithms are metaheuristic algorithms that draw inspiration from natural processes or behaviors, such as swarm intelligence, to solve optimization problems.</p> Signup and view all the answers