Hybrid Genetic Algorithms with Immunisation to Optimise Networks of Car Dealerships
نویسنده
چکیده
Spatial interaction models are used to simulate interactions between a set of demands in a given area and a set of facilities, products or services that meet these demands. When coupled with some optimisation scheme, these models can be used to plan networks of outlets that provide maximum sales, profit or service results. Software developed by GMAP Ltd. combines a spatial interaction model with a heuristic optimisation technique, called the idealised representation plan (IRP), to find profitable networks of car dealerships; this software is used by Ford of Britain to help in planning their sales delivery system. This paper discusses the use of genetic algorithm (GA) techniques in place of the IRP, to optimise the configuration of networks of Ford dealerships in the UK. In particular results show that, for this real business application, incorporation of immunisation and hybridisation techniques improve the GA’s effectiveness and efficiency.
منابع مشابه
A New Hybrid Routing Algorithm based on Genetic Algorithm and Simulated Annealing for Vehicular Ad hoc Networks
In recent years, Vehicular Ad-hoc Networks (VANET) as an emerging technology have tried to reduce road damage and car accidents through intelligent traffic controlling. In these networks, the rapid movement of vehicles, topology dynamics, and the limitations of network resources engender critical challenges in the routing process. Therefore, providing a stable and reliable routing algorithm is ...
متن کاملA Hierarchy Topology Design Using a Hybrid Evolutionary Algorithm in Wireless Sensor Networks
Wireless sensor network a powerful network contains many wireless sensors with limited power resource, data processing, and transmission abilities. Wireless sensor capabilities including computational capacity, radio power, and memory capabilities are much limited. Moreover, to design a hierarchy topology, in addition to energy optimization, find an optimum clusters number and best location of ...
متن کاملConstruction cost estimation of spherical storage tanks: artificial neural networks and hybrid regression—GA algorithms
One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven metho...
متن کاملPrediction of Gain in LD-CELP Using Hybrid Genetic/PSO-Neural Models
In this paper, the gain in LD-CELP speech coding algorithm is predicted using three neural models, that are equipped by genetic and particle swarm optimization (PSO) algorithms to optimize the structure and parameters of neural networks. Elman, multi-layer perceptron (MLP) and fuzzy ARTMAP are the candidate neural models. The optimized number of nodes in the first and second hidden layers of El...
متن کاملPrediction of Gain in LD-CELP Using Hybrid Genetic/PSO-Neural Models
In this paper, the gain in LD-CELP speech coding algorithm is predicted using three neural models, that are equipped by genetic and particle swarm optimization (PSO) algorithms to optimize the structure and parameters of neural networks. Elman, multi-layer perceptron (MLP) and fuzzy ARTMAP are the candidate neural models. The optimized number of nodes in the first and second hidden layers of El...
متن کامل