It is convenient to explain the algorithm from the pseudo code. Considering the algorithm of Firely as given in Yang (2008). Randomly...

Adisorn Owatsiriwong ALPS Consultants Introduction: Firefly algorithm is another metaheuristic approach for global optimization. The...

Adisorn Owatsiriwong, D.Eng. The PSO framework for Multi-objective optimization (MOO) can be evolved from PSO code for single-objective...

Mindmap Flow chart

Since the sphere and Matyas functions contain only one global minimum, Gradient descent is effectively used to find that minimum at...

Adisorn Owatsiriwong, D.Eng. In real life, the best solution that fulfills a single objective function might not be the best solution for others. It's rare to obtain one solution that beats all objectives. This gives us the motivation to solve multi-objective optimization problems. Considering a cantilever beam subjected to loading at the far end, the design objective might be f1: Minimum deflection f2: Minimum material volume or weight The beam design problem is u

# Import the library import numpy as np # Create a 1D array a = np.array([1, 2, 3]) # Create a 2D array b = np.array([[1, 2, 3], [4, 5,...

# Import the library import pandas as pd # Create a DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) # Read a CSV file df =...

Here is a basic cheat sheet for structured programming in Python: **1. Variables and Data Types** ```python # Strings string_var =...

We have collaborated with Posteck Prestressing in development of AI design tools project for post-tensioned slab design and pile design...

The flowchart of simulated annealing algorithm can be explained below:

In most metaheuristic algorithms like Genetic Algorithm, Simulated Annealing, or particle swarm optimization, it is required to generate...

R is currently one of the most popular languages for data analysis among Python, MATLAB, and Java. It is highly capable of statistical...

Overview: At present, Artificial Intelligence for engineering design has evolved into a mature stage and is widely used among qualified...

Adisorn Owatsiriwong, D.Eng. The Traveling Salesman Problem (TSP) is a standard combinatorial problem to test an optimization algorithm...

MATLAB's dictionary is a simple function to match two lists of constants. This is very practical when coding combinatorial optimization...

MATLAB allows us to pass functions as arguments of another function. This is very useful when we call other functions (for example,...

(The code as generated by CHAT-GPT with my commentary as shown with ##) # Define parameters for Genetic Algorithm ## Commentary: This defines the control parameters for GA solver POPULATION_SIZE = 100 GENERATIONS = 100 MUTATION_PROBABILITY = 0.1 CROSSOVER_POINTS = 2 # Define initial population ## Commentary: As same as most Meta-Heuristic searches, we must randomize the first set of tested solutions for the amount as defined by the control parameter population = generate_p