Machine learning as various Search and Optimisation algorithms. Identify among the following which is not evolutionary computation.

To identify which among the given options is not an evolutionary computation algorithm, let's clarify the context of the question. Evolutionary computation typically refers to a subset of artificial intelligence and computational algorithms that are inspired by biological evolution. Common examples include Genetic Algorithms, Genetic Programming, Evolutionary Strategies, and Differential Evolution.

Since the specific options are not provided, I won't be able to pinpoint the non-evolutionary algorithm. However, I can guide you on how to identify it:

1. Understanding Evolutionary Computation: Recognize that algorithms in this category usually involve mechanisms like selection, mutation, and crossover to evolve solutions over iterations.

2. Distinguishing Features: Look for characteristics of non-evolutionary methods, such as those based on heuristics or deterministic calculations (e.g., Gradient Descent, Dynamic Programming).

3. Common Algorithms: Be aware of common non-evolutionary algorithms listed, which typically might include:

   • Neural Networks
   • Simulated Annealing
   • Tabu Search
   • Particle Swarm Optimization (though this can sometimes be confused with evolutionary techniques due to its population-based approach)

If you provide the specific options, I can identify which one does not belong to evolutionary computation.