Incorporating LP and Hybridizing It with Meta‐heuristic Algorithms
Ali Ridha Al-Roomi · 2021
Some researchers suggest hybridizing evolutionary algorithms (EAs) with linear programming (LP) and non-linear programming to accelerate the convergence rate and accuracy. Thus, there is a technical problem when LP is selected as a sub-algorithm in EAs. This chapter presents detailed information about this problem and how to practically solve it in different ways. The procedure used to generate random discrete values will be adopted later for biogeography-based optimization-LP. To solve the inherent limitation of multi-start LP schemes, the outer loop with random generated initial points can be replaced with more intelligent tools, such as meta-heuristic optimization algorithms.