A parallel heuristic for quadratic assignment problems
Computers and Operations Research
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Computer
Error bounds estimate of weighted residuals method using genetic algorithms
Applied Mathematics and Computation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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The double side approach method uses mathematical programming and method of weighted residual to solve differential equations. The method is a semi-exact solution. It is based on Galerkin method and mathematical programming to create the bilateral inequality. For this process, the differential equation problem will be changed to a mathematical programming problem. By using the optimization method of genetic algorithms, we can get minimum and maximum solution to satisfy the inequality. The advantage of this method is the less computer storage cell requirements compared to the finite element method. A nonlinear differential equation problem is studied as an example. The efficiency, accuracy, and simplicity of this approach are illustrated, indicating that the proposed method can be easily extended to solve a wide range of physical engineering problems.