Passengers must use a set of modes and vehicles to reach their destination in complicated urban structures. Choosing an optimal route is a complicated optimization problem for these passengers. This study proposes a multi-objective optimization algorithm to solve the routing problem in the urban...

With the advent of Big Data, managing large-scale portfolios of thousands of securities is one of the most challenging tasks in the asset management industry. This study uses an evolutionary multi objective technique to solve large-scale portfolio optimisation problems with both long-term listed...

The growth of the Internet of Things (IoT) has accelerated digital transformation processes in organizations and cities. However, it has also opened new security challenges due to the complexity and dynamism of these systems. The application of security risk analysis methodologies used to...

Despite the growing global interest in promoting rural development as a strategy to guarantee food security, in developing countries there are large gaps to achieve a sustainable countryside, mainly in rural areas. This research work delves into a methodological approach definition to establish...

In stochastic lot sizing subject to dynamic and random demand, the minimization of operational costs is not the only conceivable objective. Minimizing the tardiness in customer demand satisfaction is no less important. Furthermore, the decision maker is interested in production plan stability....

Bangladesh has tremendous development potential across a wide range of socioeconomic sectors. Over the past decade, its energy and power sectors have grown consistently. However, the unexpected outbreak of COVID-19 threatens the continuation of progress. To successfully overcome and comply with...