Solving Complex Optimization Problems Through Evolutionary Computing Techniques
Often, in modern computational problems, a decision needs to be made as to which optimal solution to seek in a vast and very large search space. Traditional methods for problem-solving with a lot of variables, constraints, or choices may be challenged. To overcome these difficulties, a study has been conducted by nature-inspired researchers to mimic the biological evolution process. One such method is a genetic algorithm based on the principles of natuaral selection, natural reproduction and mutation to find the best solution over many generations. Because of its flexibility and effectiveness, it is a valuable tool in the fields of engineering, business, science and technology applications. Inspiration From Natural Evolution. Evolutionary computing is inspired by nature's processes. Certain selection processes allow organisms to change over time and pass on traits that increase chances for survival and reproduction. Likewise, computational solutions can be enhanced; better ...