Project portfolio selection has been the focus of many scholars in the last two decades. The
number of studies on the strategic process has significantly increased over the past decade …

Deep-sea mining (DSM) is an emerging interdisciplinary and cross-domain research topic.
So far, there is no an effective, viable approach to evaluate the comprehensive performance …

In this paper, we have formulated quantum beetle antennae search (QBAS), a meta-heuristic
optimization algorithm, and a variant of beetle antennae search (BAS). We apply it to …

Selecting a rational large-scale rooftop photovoltaic (LSR-PV) project portfolio is critical to
the realization of long-term strategy objectives for PV enterprises. Difficulties related to LSR …

The accumulation of large amounts of historical data has led to the wide application of
ensemble learning over the past few decades, but the balance between the individual …

Selecting a rational project portfolio is a key step in achieving the strategic goals of an
enterprise. However, the selection is challenging due to complicated relationships in the …

Selecting a rational distributed energy generation (DEG) project portfolio is the key to
achieving the strategic objectives of energy enterprises. The complexity associated with the …

A multiobjective binary integer programming model for R&D project portfolio selection with
competing objectives is developed when problem coefficients in both objective functions …

Project portfolios are considered “powerful strategic weapons” for implementing corporate
strategy. Projects are exposed to different types of risks. Studies on project portfolio …

This paper introduces a new binary Grey Wolf Optimization (GWO) algorithm, which is one of
the recent swarm intelligence-based metaheuristic algorithms. Its various extensions have …