In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …

During the past few years, research in applying machine learning (ML) to design efficient,
effective, and robust metaheuristics has become increasingly popular. Many of those …

This article presents a survey of genetic algorithms that are designed for solving multi depot
vehicle routing problem. In this context, most of the articles focus on different genetic …

This paper reviews the existing literature on the combination of metaheuristics with machine
learning methods and then introduces the concept of learnheuristics, a novel type of hybrid …

4.1▪ Introduction In recent years, several sophisticated mathematical programming
decomposition algorithms have been put forward for the solution of the VRP. Yet, despite …

Vehicle routing is a well-known optimization research topic with significant practical
importance. Among different approaches to solving vehicle routing, heuristics can produce a …

This paper is a survey of the literature on applications of evolutionary algorithms for vehicle
routing problems. It reports on genetic algorithms, evolution strategies, and particle swarm …

The binarization of Swarm intelligence continuous metaheuristics is an area of great interest
in operations research. This interest is mainly due to the application of binarized …

Solving combinatorial optimization problems is of great interest in the areas of computer
science and operations research. Optimization algorithms and particularly metaheuristics …

We present frequent pattern-based search (FPBS) that combines data mining and
optimization. FPBS is a general-purpose method that unifies data mining and optimization …