Genetic algorithm is an evolutionary approach for solving space layout and optimization problems. Due to some drawbacks in genetic algorithm, several modifications are performed on this algorithm. When the advantages of GA are combined with advantages of another algorithm then this approach is called Hybrid Genetic Algorithm. One of the most difficult problems in architectural design is space layout problem. Various methods are proposed for solving this problem like hybrid genetic algorithm, fuzzy logic, and artificial neural network. Space layout problem commonly occurs in warehouse, hotel, building floors, containers, shelves etc. Present paper contains a review on genetic algorithm, hybrid genetic algorithm approaches for solving space allocation problems on different sample test like warehouse, shelf, building floors and container etc. A comparison has been done of twelve research paper .The findings of this paper will be useful for those who look for solution of space allocation problem on different models.
Surface modification has been emerged out as a novel value addition process to increase the mechanical as well as tribological execution of the engineering materials in the previous decade. Friction stir processing (FSP) has been one of the best and most recent technologies for improving the surface properties of work material. The current study explores a critical review of the fabrication of aluminum matrix composite by incorporating the abrasive type particles through FSP and analyzing the improved mechanical, thermal, and tribological characteristics of the fabricated composite materials. The study will pave the way for opportunities related to surface modification by FSP.
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