problems, and after that, each single depot problem is solved heuristically by a hybrid genetic algorithm. In the genetic … algorithm, various heuristics and efficient operators are used in the evolutionary search. The suggested algorithm is applied to …

time, a new genetic algorithm-based solution method, which is a population-based algorithm, is proposed to solve the RBP … used. The quality and computational time of the generated solutions for the test problems with the proposed genetic … algorithm are compared with the solutions of the CPLEX software. The results show high efficiency and effectiveness of the …

This paper deals with the performance enhancement for crystallization unit of a sugar plant using genetic algorithm … of each subsystem of crystallization unit in a sugar plant has also been optimized using genetic algorithm. Thus, the …

project scheduling problem, Genetic Algorithm (GA) has been used as a searching tool. Finally, Dev-C++ 4.9.9.2 has been used …. Here, the function has been optimized using Genetic Algorithm search technique, with varied level of risks and fuzzy time …

to select suppliers from a predefined supplier base. Multi-objective genetic algorithm (MOGA) is used further to allocate …

each asset as to maximize return and minimize risk. This paper applies the method of genetic algorithm (GA) to obtain an … illustrate the applicability and efficiency of genetic algorithm method, GA method can also be used however for a larger number … genetic algorithm in selecting optimal portfolios. …