We present a new construction of non-classical unitals from a classical unital U in PG(2, q2). The resulting non-classical unitals are B-M unitals. The idea is to find a non-standard model Π of PG(2, q2) with the following three properties: (i) points of Π are those of PG(2, q2); (ii) lines of Π are certain lines and conics of PG(2, q2); (iii) the points in U form a non-classical B-M unital in ...

We present a new construction of non-classical unitals from a classical unital U in PG(2, q2). The resulting non-classical unitals are B–M unitals. The idea is to find a non-standard model Π of PG(2, q2) with the following three properties: (i) points of Π are those of PG(2, q2); (ii) lines of Π are certain lines and conics of PG(2, q2); (iii) the points in U form a non-classical B–M unital in ...

Mixed-model U-shaped assembly line balancing problems (MMUALBP) is known to be NP-hard resulting in it being nearly impossible to obtain an optimal solution for practical problems with deterministic algorithms. This paper presents a new evolutionary method called combinatorial optimisation with coincidence algorithm (COIN) being applied to Type I problems of MMUALBP in a just-in-time production...

This paper presents a new method to address the Hybrid Assembly Line Balancing Problem with multiple objectives. The aim is to assign a set of tasks to workstations and select the assembly equipment or resource to perform each of them. The goal is to minimize the total cost of the line by integrating design (congestion, machine real cost...) and operation issues (cycle time, precedence constrai...

In this paper we study an assembly line balancing problem that occurs in sheltered worker centers for the disabled, where workers with very different characteristics are present. We are interested in the situation in which complete parallel assembly lines are allowed and name the resulting problem as parallel assembly line worker assignment and balancing problem (PALWABP). This approach enables...

This paper deals with various ways of using multiobjective (vector) optimization in assembly line optimization problem. Nowadays, there are two main approaches to solve multi-objective optimization tasks: artificial intelligence approach using mainly evolutionary algorithms; and mathematical approach based on detail mathematic description of optimized assembly line. This paper is summarizing kn...

As part of manufacturing systems, the assembly line has become one of the most valuable researches to accomplish the real world problems related to them. Many efforts have been made to seek the best techniques in optimizing assembly lines. Problem statement: Since it was published by Salveson in 1955, some methods and techniques have been developed based on mathematical modeling. In recent year...

With the invention of the DNA origami technique, DNA self-assembly has reached a new level of sophistication. DNA can now be used to arrange molecules and other nanoscale components into almost arbitrary geometries-in two and even three dimensions and with nanometer precision. One exciting prospect is the realization of dynamic systems based on DNA, in which chemical reactions are precisely con...