Pathways to the optimal set in linear programming
Progress in Mathematical Programming Interior-point and related methods
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Allocating resources for soft requests—a performance study
Information Sciences—Informatics and Computer Science: An International Journal
A tutorial survey of job-shop scheduling problems using genetic algorithms—I: representation
Computers and Industrial Engineering
Genetic Algorithms
On Multi-Dimensional Encoding/Crossover
Proceedings of the 6th International Conference on Genetic Algorithms
Computational Techniques of the Simplex Method
Computational Techniques of the Simplex Method
Towards the real time solution of strike force asset allocation problems
Computers and Operations Research
Evolutionary Computation In Combinatorial Optimization: 4th European Conference, Evocop 2004, Coimbra, Portugal, April 5-7, 2004, Proceedings (LECTURE NOTES IN COMPUTER SCIENCE)
Information Sciences: an International Journal
Exact and Heuristic Algorithms for the Weapon-Target Assignment Problem
Operations Research
Information Sciences: an International Journal
A hybrid search algorithm with heuristics for resource allocation problem
Information Sciences: an International Journal
Evolutionary algorithms for optimization problems with uncertainties and hybrid indices
Information Sciences: an International Journal
A class of rough multiple objective programming and its application to solid transportation problem
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Approximating the optimal mapping for weapon target assignment by fuzzy reasoning
Information Sciences: an International Journal
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In this study, we investigated different optimization approaches for the resource allocation problem in the preparation of Air Tasking Orders (ATOs) and analyzed their performances. We developed a genetic algorithm with customized encoding, crossover and fitness calculation mechanisms making use of domain knowledge. We also developed an integer programming model, a simple greedy algorithm and a brute-force algorithm for the same problem to assess the performance of the proposed algorithm and demonstrate our contribution to the resource allocation's effectiveness and efficiency. ATOs are designed to meet the objectives of various air combat missions by optimized resource management. Considering combinatorial aspects with dynamic objectives and various constraints, computer support has become essential for the optimization of resource management in air force operations. We developed a novel solution to this real life time critical problem, which is a time-consuming and gain-optimized decision problem.