Infinite population models are important tools for studying population dynamics of evolutionary algorithms. They describe how the distributions of populations change between consecutive generations. In general, infinite population models are derived from Markov chains by exploiting symmetries between individuals in the population and analyzing the limit as the population size goes to infinity. ...

Crane scheduling in container terminals is known as a difficult optimization problem that has become even more challenging in recent years with the proliferation of multi-gantry automated stacking cranes. In this paper we present an efficient algorithm solving a subproblem arising in this context, namely deciding the priority of cranes after transportation tasks have been assigned. We tackle th...

The present paper tackles the optimization problem of double layer grids considering nonlinear behaviour. In this paper, an efficient optimization algorithm is proposed to achieve the optimization task based on the newly developed grey wolf algorithm (GWA) termed as sequential GWA (SGWA). In the framework of SGWA, a sequence of optimization processe...

DNA sequence-dependent photoluminescence enhancement is found for a cationic polyelectrolyte complexed with single stranded DNA and described as a result of an interplay between electrostatic attraction and the π-π stacking between the polyelectrolyte's backbone and DNA's bases.

Natural fibre reinforced composite of pineapple and ramie unidirectional mats were fabricated through handlayup process curing compression molding process. Six samples the material with different combinations alternating fibres orientations tested for their mechanical properties. It was observed that stacking sequence, type orientation make a pronounced difference in The outer layer Ramie mat 4...

How has a stack of n blocks to be arranged in order to maximize its overhang over a table edge while being stable? This question can be seen as an example application for applied statics and at the same time leads to a challenging optimization problem that was discussed recently in two theoretical studies. Here, we address this problem by designing an evolutionary algorithm; the proposed method...

1. Abstract The Discrete Material Optimization (DMO) [1] is a technique employed in structural optimization problems, dealing with the choice of discrete candidate materials over a certain structural domain. It is based on the use of material interpolations, functions of design variables, which can be seen as weighted sums of these candidates. Its goal is to select the weights’ values by means ...

Extensive studies have been undertaken on the local buckling of FRP members. However, scope existing research largely remains limited to those with rectangular faces. As geometry member faces can affect capacity, thin-walled members possess higher loads for a given volume material when properly shaped. such, consideration non-rectangular is necessary, not only cater applications where profiles ...

The multiple coupling of composite laminates has a unique advantage in improving the macro mechanical properties structures. A total three hygro-thermally stable multi-coupled with extension-twisting were presented, which conducive to formation passive adaptive Then, used design bending-twisting coupled box structure, configuration laminate and structure could be extended variable cross-section...

This article addresses the problem that remaining useful life (RUL) prediction accuracy for a high-speed rail catenary is not accurate enough, leading to costly and time-consuming periodic planned reactive maintenance costs. A new method predicting RUL of proposed based on Bayesian optimization stacking ensemble learning method. Taking uplink downlink data railway line as an example, preprocess...