This paper proposes a discrete invasive weed optimization (DIWO) to solve the blocking flow-
shop scheduling problem (BFSP) with makespan criterion, which has important practical …

Presently, various governments and organizations are focusing on digitization of technical
and academic documents, which overloads digital libraries. It is challenging to manage a …

Population-based meta-heuristic is a high-level method intended to provide sufficient
solution for problems with incomplete information among a massive volume of solutions …

Margin trading is an important part of stock market. Compared with traditional channel
business, it brings excess profits to both financial institutions and investors. As an important …

Path planning can be described as a NP-complete problem having various practical
applications, as no polynomial time algorithm is capable of solving the problem available …

Due to the complexity of the financial market, security returns are sometimes expressed by
expert estimates rather than historical data. In this paper, we deal with a multiobjective …

In project portfolio selection (PPS) management, one of the main goals is the optimal
management of projects with the least risk and the highest commercial value under risk …

Many real-world problems in the financial sector have to consider different objectives which
are conflicting, for example portfolio selection. Markowitz proposed an approach to …

Abstract Mixed-Integer Non-Linear Programming (MINLP) is not rare in real-world
applications such as portfolio investment. It has brought great challenges to optimization …

This paper proposes a self-adaptive discrete invasive weed optimization (SaDIWO) to solve
the blocking flow-shop scheduling problem (BFSP) with the objective of minimizing total …