During the last decades, research in multi-objective optimisation has seen considerable growth. However, this activity been focused on linear, non-linear, and combinatorial with multiple objectives. Multi-objective mixed integer (linear or non-linear) programming received considerably less attention. In paper we propose an algorithm to compute a finite set of non-dominated points/efficient solu...

Objective(s): Non-invasive treatment options for retinoblastoma (RB), the most common malignant eye tumor among children, are lacking. Epithelial growth factor receptor (EGFR) accelerates cell proliferation, survival, and invasion of many tumors including RB. However, RB treatment by targeting EGFR has not yet been researched. In the current study, we investigated the effect of EGFR down-regula...

8 Abstract 9 The goal of this paper is to explore solution concepts for set-valued TU-games. Several stability conditions can be 10 defined since one can have various interpretations of an improvement within the multicriteria framework. We present 11 two different core solution concepts and explore the relationships among them. These concepts generalize the classic 12 core solution for scalar g...

This paper proposes a Trust-Region Based Augmented Method (TRALM) to solve a combined Environmental and Economic Power Dispatch (EEPD) problem. The EEPD problem is a multi-objective problem with competing and non-commensurable objectives. The TRALM produces a set of non-dominated Pareto optimal solutions for the problem. Fuzzy set theory is employed to extract a compromise non-dominated sol...

In this paper, we propose new depth-first heuristic search algorithms to approximate the set of Pareto optimal solutions in multi-objective constraint optimization. Our approach builds upon recent advances in multi-objective heuristic search over weighted AND/OR search spaces and uses an -dominance relation between cost vectors to significantly reduce the set of non-dominated solutions. Our emp...

Near neighbor problems are fundamental in algorithms for high-dimensional Euclidean spaces. While classical approaches suffer from the curse of dimensionality, locality sensitive hashing (LSH) can effectively solve α-approximate r-near neighbor problem, and has been proven to be optimal in the worst case. However, for real-world data sets, LSH can naturally benefit from well-dispersed data and ...

Cystic fibrosis (CF) is an autosomal recessive disorder caused by mutations in CFTR genes that affect chloride ion channel. The CF is a good nominee for gene therapy as the asymptomatic carriers are phenotypically normal, and the desired cells are accessible for vector delivery. Gene therapy shows promising effects involving the correction of gene or replacement of the mutant gene with the func...

The focus is the experimental assessment of insitu flow vectors in a hillslope soil. We selected a 100 m2 trenched hillslope study site. During prescribed sprinkling an obliquely installed TDR wave-guide provides for the velocity of the wetting front in its direction. A triplet of wave-guides mounted along the sides of an hypothetical tetrahedron, with its peak pointing down, produces a three-d...

The development of nonviral vectors for the efficient and safe delivery to cells has long been awaited to facilitate gene therapy. Recently, many nonviral vectors modified with cationic lipids, cationic polymers, etc. have been reported. However, those nonviral vectors with cationic materials require improved stability, longer duration of gene expression, and reduced cytotoxicity. We successful...