Terms
Evolutionary Strategies
Genetic Algorithms
Different Variations
100

A candidate solution.

What is individual?

100
The parameter that controls how selective the algorithm is.

What is mu?

100

And algorithm, where for a vector of length L, it picks a number between and L, inclusive, and swaps all the indexes >=c.

What is One-Point Crossover?

100

An algorithm that adds the fittest individuals from the previous population into the next population.

What is elitism?

200

The current collection of candidate solutions.

What is population?

200

One of the main phases of a basic evolutionary algorithm, which also represent the only differences between (mu+lambda) and (mu, lambda).

What is Join?

200

An algorithm that selects individuals in proportion to their fitness.

What is Roulette Selection?

200

Technique developed by James Kennedy and Russell Eberhart which is essentially a form of directed mutation.

What is Particle Swarm Optimisation?

300

Plain Tweaking, often thought as “asexual” breeding.

What is mutation

300

Selecting individuals procedure employed by Evolutionary Strategies.

What is Truncation Selection?

300

The primary selection technique used for the Genetic Algorithms.

What is Tournament Selection?

300

An algorithm that uses half the memory of a traditional genetic algorithm.

What is Steady-State GA?

400

An individual’s data structure used during breeding.

What is Genotype?

400

Rule by Indo Rechenberg for changing the mutation rate in Gaussian Convolution?

What is One-Fifth Rule?

400

The degree to which various genes are functionally intertwined in their effect on fitness.

What is epistasis?

400

The family of algorithms that combines some kind of global optimisation algorithm with some kind of local improvement algorithm.

What are Memetic Algorithms?