Parallel hybrid chicken swarm optimization for solving the quadratic assignment problem

<p>In this research, we intend to suggest a new method based on a parallel hybrid chicken swarm optimization (PHCSO) by integrating the constructive procedure of GRASP and an effective modified version of Tabu search. In this vein, the goal of this adaptation is straightforward about the fact of preventing the stagnation of the research. Furthermore, the proposed contribution looks at providing an optimal trade-off between the two key components of bio-inspired metaheuristics: local intensification and global diversification, which affect the efficiency of our proposed algorithm and the choice of the dependent parameters. Moreover, the pragmatic results of exhaustive experiments were promising while applying our algorithm on diverse QAPLIB instances . Finally, we briefly highlight perspectives for further research.</p>

EXPLORING DIVERSIFICATION BENEFITS IN ASIAN EQUITY MARKETS

This paper examines the benefits of international diversification from the perspective of local investors in 15 Asian markets whose initial portfolio holdings consist of assets from the respective domestic markets. We employ the step-down approach of the mean–variance spanning test to examine the statistical significance of regional and global diversification benefits. The analysis is conducted using three portfolio groups based on relative strength ranking technique. The empirical evidence suggests greater benefits from regional diversification compared to global diversification, in most instances. For Asian economies with restrictions on international investing, these findings suggest a further liberalization of their markets.