The generic denomination of 'Memetic Algorithms'(MAs) is used to encompass a broad class
of metaheuristics (ie, general purpose methods aimed to guide an underlying heuristic). The …

Metaheuristics have a substantial history in fine-tuning machine learning algorithms. They
gained tremendous popularity in many application domains. Robotics on the other hand is a …

In the present study, a Novel Memetic Genetic Algorithm (NMGA) is developed to solve the
Traveling Salesman Problem (TSP). The proposed NMGA is the combination of Boltzmann …

This chapter introduces and analyzes a memetic algorithm approach for the training of
artificial neural networks, more specifically multilayer perceptrons. Our memetic algorithm is …

Los algoritmos meméticos (MA) son técnicas de optimización que combinan sinérgicamente
conceptos tomados de otras metaheur¶ ³sticas, tales como la búsqueda basada en …

Finding optimal solutions is in general computationally intractable for many combinatorial
optimization problems, eg, those known as NP-hard [54]. The classical approach for dealing …

Los algoritmos meméticos (MA) son técnicas de optimización que combinan sinérgicamente
conceptos tomados de otras metaheurısticas, tales como la búsqueda basada en …

Differential Evolution (DE) is a renowned optimization stratagem that can easily solve
nonlinear and comprehensive problems. DE is a well known and uncomplicated population …

Los algoritmos meméticos (MAs) constituyen un paradigma de optimización basado en la
explotación sistemática de conocimiento acerca del problema que se desea resolver, y de …

Current goods delivery are mostly based on human couriers. It is time consuming, labor
intensive and low efficient. Therefore, lot of Logistics Companies are making efforts in …