A book on evolutionary computation by De Jong mentions both the term evolutionary algorithms (EA) as well as evolutionary computation (EC). However, it remains unclear to me what the difference between the two is. According to Vikhar, EA forms a subset of EC. However, it remains unclear to me what sort of topics/algorithms would be considered EC but not EA. Is there a clear difference between the two? If so, what is this difference?
As you can find on Wikipedia:
Evolutionary algorithms form a subset of evolutionary computation in that they generally only involve techniques implementing mechanisms inspired by biological evolution such as reproduction, mutation, recombination, natural selection, and survival of the fittest.
This means that other types of evolutions, which are not necessarily a biological evolution, are found in evolutionary computation but not in evolutionary algorithms. For example, learning classifier systems are in EC as they are evolutionary, but not completely in EA as they are not biological.
an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm
Which would make EA different from something like ALife (which fits under the category of EC).