Biology-inspired algorithm

Q: How deeply does Optimization Algorithms: AI techniques for design, planning, and control problems cover biology-inspired algorithm?

Defines the computational model and surveys algorithm families, stopping short of detailed algorithm procedures or implementations.

As explained in Optimization Algorithms: AI techniques for design, planning, and control problems

A nature-inspired algorithm is a computational method that mimics or reverse engineers intelligent behaviors observed in natural systems.

A biology-inspired algorithm is a computational model that mimics or reverse engineers intelligent behavior observed in nature. It guides search through complex, ill-structured optimization problems where global information may be limited. section 2.4 section 2.5

Common sources of biological inspiration include:

Evolutionary biology: genetic algorithms, genetic programming, evolutionary programming, evolutionary strategies, and differential evolution. section 2.4
Animal behavior: particle swarm optimization, ant colony optimization, artificial bee colony, and grey wolf optimization. section 2.4
Other biological or natural processes: neural networks, immunity, self-organization, molecular dynamics, and thermal annealing. section 2.4

Routing a VLSI design

A road network can model the problem of finding minimum-length wires connecting pins in a very-large-scale integration design, motivating search and optimization methods for practical layouts. section 2.0

How Optimization Algorithms: AI techniques for design, planning, and control problems covers it

Cover of Optimization Algorithms: AI techniques for design, planning, and control problems

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Related concepts

evolutionary computationincludes · Evolutionary computation is a family of search and optimization methods that iteratively improve candidate solutions through variation and selection inspired by biological evolution.
ill-structured problemaddresses · A problem whose scope, state, or environment is dynamic, uncertain, partially observable, or otherwise difficult to specify completely for efficient solution.
swarm intelligenceincludes · Swarm intelligence is a computational approach in which interactions among decentralized, relatively simple agents produce collective problem-solving, search, or optimization behavior.
algorithmkind of · An algorithm is a finite, precisely specified procedure for performing a computation, transforming inputs into outputs, or solving a problem.

This explainer was generated by Manning's knowledge graph from the text of Optimization Algorithms: AI techniques for design, planning, and control problems. The section links point to the parts of the book it draws on.