The design of energy systems is very important in order to reduce operating costs and guarantee the reliability a system. This paper proposes new algorithm solve problem optimal multi-objective redundancy series-parallel power systems. chosen based on hybridization two metaheuristics, which are bat (BA) generalized evolutionary walk (GEWA), also called BAG (bat with flight). approach combined U...

one main group of a transportation network is a discrete hub covering problem that seeks to minimize the total transportation cost. this paper presents a multi-product and multi-mode hub covering model, in which the transportation time depends on travelling mode between each pair of hubs. indeed, the nature of products is considered different and hub capacity constraint is also applied. due to ...

In order to solve the problem of material distribution path planning in production workshop, this paper proposes a research on multi-objective cargo logistics loading and based improved genetic algorithm. This improves algorithm (P), that is, evolution mode draws lessons from coding algorithm, uses row insertion method obtain initial population. crossover operation, narrow gene similarity is us...

Nowadays, developed and developing countries using smart systems to solve their transportation problems. Parking guidance intelligent systems for finding an available parking space, are considered one of the architectural requirements in transportation. In this paper, we present a parking space reservation method based on adaptive neuro-fuzzy system(ANFIS) and multi-objective genetic algorithm....

The main objective of regression testing is to test the modified software during maintenance phase of Software Development Life Cycle. An easiest strategy to regression testing is to retest all test cases in a test suite, but due to limitation of resources and time constraint, it is not efficient to implement. Test case prioritization technique increases the effectiveness of regression testing ...