Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications

Among the many hot lines of modern research, hybridization stands out. Analyzing basic building blocks (ideas, algorithms, and procedures) and then building a new artifact (algorithm, machine, and tool) are in the core of Science. In this journal issue, we want to gather together some new and interesting ideas on neural networks and hybrid metaheuristics, two promising domains for building algorithms and techniques of higher efficiency and success.