evolutionary algorithm
Low/Very Low (Technical Term)Formal, Academic, Technical
Definition
Meaning
A computational method inspired by biological evolution, used to find approximate solutions to optimization problems by processes like selection, mutation, and crossover.
A broad class of population-based metaheuristic optimization algorithms that use mechanisms inspired by Darwinian principles of natural selection and genetics to evolve solutions over generations. They belong to the larger field of evolutionary computation, which includes genetic algorithms, evolution strategies, and genetic programming.
Linguistics
Semantic Notes
The term refers specifically to an algorithm class, not the process of evolution itself. It is a compound noun functioning as a single lexical unit. Often used as a noun phrase modifying another noun (e.g., 'evolutionary algorithm approach').
Dialectal Variation
British vs American Usage
Differences
No significant lexical or definitional differences. Spelling conventions follow regional norms (e.g., 'optimise/optimize' within example texts). The hyphenation of compound modifiers (e.g., 'evolutionary-algorithm research') is slightly more common in British English.
Connotations
Identical technical connotations in both varieties.
Frequency
Usage frequency is tied entirely to technical fields (computer science, engineering, AI) and is equally low in general discourse for both varieties.
Vocabulary
Collocations
Grammar
Valency Patterns
[Subject: EA] + [Verb: optimises/optimizes/finds] + [Object: a solution/parameters]We + [Verb: used/applied] + [Object: an evolutionary algorithm] + [Adverbial: to solve the problem/for design].The [Noun: research/paper] + [Verb: proposes/describes] + [Object: an evolutionary algorithm].Vocabulary
Synonyms
Strong
Neutral
Weak
Vocabulary
Antonyms
Phrases
Idioms & Phrases
- “Nature-inspired computing”
- “Survival of the fittest (code)”
Usage
Context Usage
Business
Rare; might appear in tech startup contexts discussing AI product development or logistics optimization.
Academic
Common in computer science, artificial intelligence, engineering, and operational research publications and lectures.
Everyday
Extremely rare; would not be used in general conversation.
Technical
The primary register. Standard term in software engineering, AI research, data science, and complex system design.
Examples
By Part of Speech
verb
British English
- The software was designed to evolve solutions using a custom method.
- We need to evolve the parameters iteratively.
American English
- The system evolves a new design over thousands of generations.
- They programmed it to evolve controller settings.
Examples
By CEFR Level
- Scientists sometimes use computer programs inspired by nature to solve difficult problems.
- This type of algorithm tries many random solutions and keeps the best ones.
- An evolutionary algorithm mimics natural selection to optimise complex systems, such as a delivery route.
- The engineer applied an evolutionary algorithm to find the most efficient wing design.
- The research team devised a novel evolutionary algorithm that incorporated local search heuristics, significantly enhancing its convergence rate on multi-modal optimisation problems.
- Critics argue that while evolutionary algorithms are robust for black-box problems, their computational expense can be prohibitive for real-time applications.
Learning
Memory Aids
Mnemonic
Think of an algorithm that EVOLVES its answers like a species evolves traits—through repeated cycles of testing (selection), random changes (mutation), and combining good parts (crossover).
Conceptual Metaphor
PROBLEM-SOLVING IS EVOLUTION. The search space is an environment, candidate solutions are individuals in a population, and the fitness function is natural selection.
Watch out
Common Pitfalls
Translation Traps (for Russian speakers)
- Avoid translating 'evolutionary' as 'эволюционный' in a purely biological sense when it modifies 'algorithm'. The established calque 'эволюционный алгоритм' is correct in IT contexts. Do not confuse with 'развивающийся алгоритм' (developing algorithm), which implies a different process.
Common Mistakes
- Using 'evolutionary' as an adverb (e.g., 'The program solved it evolutionary'). Correct: '...using an evolutionary algorithm'.
- Confusing 'evolutionary algorithm' (general class) with 'genetic algorithm' (specific type). All genetic algorithms are evolutionary algorithms, but not vice versa.
- Misspelling as 'evolutional algorithm'.
Practice
Quiz
What is the primary inspiration for an evolutionary algorithm?
FAQ
Frequently Asked Questions
It is a subset of artificial intelligence, specifically within optimization and machine learning. Not all AI uses evolutionary algorithms.
Designing antenna shapes for satellites, where the algorithm evolves random wireframes into an optimal design for signal strength.
No. They are heuristic methods that find good, approximate solutions, especially useful when the perfect solution is too time-consuming or impossible to calculate directly.
1) Initialize a random population of solutions. 2) Evaluate each solution's 'fitness'. 3) Select the best for 'reproduction'. 4) Create new solutions via crossover (mixing) and mutation (random change). 5) Repeat from step 2 for many generations.