This paper proposes a new heuristic for global optimization. The method utilizes an
attraction-repulsion mechanism to move the sample points towards the optimality. The proposed …

Evaluating the performance of activities or organizations by traditional data envelopment
analysis (DEA) models requires crisp input/output data. However, in real-world problems inputs …

… Fang and Puthenpura give a comprehensive treatment of modern algorithms for linear
programming, including variants of the classical simplex algorithms and interior-point …

Multi-band electromagnetically induced transparency (EIT) effects have attracted widespread
attention due to their great application prospects. However, their realization is mainly …

Entropy optimization is a useful combination of classical engineering theory (entropy) with
mathematical optimization. The resulting entropy optimization models have proved their …

This report of independent genome sequences of two natural populations of Drosophila
melanogaster (37 from North America and 6 from Africa) provides unique insight into forces …

An optimization model with a linear objective function subject to a system of fuzzy relation
equations is presented. Due to the non-convexity of its feasible domain defined by fuzzy …

Ecological engineering has become an essential tool in efforts to address environmental
crises, improve human well-being, and achieve sustainability. However, efficient assessment of …

To estimate the future development of one technology and make decisions whether to
invest in it or not, one needs to know the current stage of its technology life cycle (TLC). The …

In global optimization, a typical population-based stochastic search method works on a set of
sample points from the feasible region. In this paper, we study a recently proposed method …