Linear complementarity problem (LCP) is studied. After reforming general LCP as the system of nonlinear equations by NCP-function, equivalent to solving an unconstrained optimization model, which can be solved a recently proposed algorithm named novel global harmony search (NGHS). NGHS overcome disadvantage interior-point methods. Numerical results show that has higher rate convergence than oth...

This paper presents a Harmony Search Optimization (HSO) based design methodology for maximizing both the starting torque and the efficiency of Induction Motor (IM). HSO is inspired the musical process of searching for a perfect state of harmony. The harmony in music is analogous to the optimization solution vector, and the musician’s improvisations are analogous to local and global search schem...

Harmony search algorithm (HSA) is a recent evolutionary algorithm used to solve several optimization problems. The algorithm mimics the improvisation behaviour of a group of musicians to find a good harmony. Several variations of HSA have been proposed to enhance its performance. In this paper, a new variation of HSA that uses multi-parent crossover is proposed (HSA-MPC). In this technique thre...

The Harmony Search (HS) algorithm is a new evolutionary metaheuristic algorithm based on natural musical performance processes that occur when a musician searches for a better state of harmony, such as during jazz improvisation. In the HS algorithm, the solution vector is analogous to the harmony in music, and the local and global search schemes are analogous to musician’s improvisations.The HS...

Regression test is an effective means to ensure the quality of software. But the test efficiency will become lower and lower as the test case library becomes increasingly large in the test. Therefore, in order to improve the efficiency and quality of regression test, it is necessary to implement the test case safety reduction. The optimization selection of the test case is an effective means of...

Implementing realistic activity patterns for a population is crucial for modeling, for example, disease spread, supply and demand, and disaster response. Using the dynamic activity simulation engine, DASim, we generate schedules for a population that capture regular (e.g., working, eating, and sleeping) and irregular activities (e.g., shopping or going to the doctor). We use the sample entropy ...