Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Annals of Operations Research - Special issue on Tabu search
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Tabu Search
Improving real-parameter genetic algorithm with simulated annealing for engineering problems
Advances in Engineering Software
Natural and simulated annealing
Computing in Science and Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Designing of integrated system-dynamics models for an oil company
International Journal of Computer Applications in Technology
Hi-index | 0.00 |
The airfreight forwarding business requires the application of stochastic search techniques to support the development of the industry. In the workflow of airfreight forwarding, the cargo loading process is believed to be the most probable step to find room for further improvement. How to carry cargoes efficiently needs to be taken into consideration to maximise the profit without any violation of the volume and weight constraints. Among those search techniques, Genetic Algorithms (GA), Tabu Search (TS) and Simulated Annealing (SA) are prevalently used to deal with the optimisation problems. As an illustration of the application of the three search techniques to the cargo loading problem, it is suggested that GA is the most appropriate method to apply in the optimisation of freight forwarding application. This paper begins with a glance at the cargo loading problem and the airfreight forwarding profit model. Then the working procedures of stochastic search techniques, including GA, TS and SA, are described as they are applied to the cargo loading problem. Subsequently, a qualitative comparison among these three approaches is made to suggest a search technique that is found to be suitable for optimising cargo loading plans in the airfreight forwarding business.