Expensive optimization problem (EOP) widely exists in various significant real-world
applications. However, EOP requires expensive or even unaffordable costs for evaluating …

Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …

Portfolio optimization has been studied extensively by researchers in computer science and
finance, with new and novel work frequently published. Traditional methods, such as …

Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …

Supply chain management (SCM) is a significant and complex system in a smart city that
requires advanced artificial intelligence (AI) and optimization techniques. The multiobjective …

It is known that many-objective optimization problems (MaOPs) often face the difficulty of
maintaining good diversity and convergence in the search process due to the high …

In solving the portfolio optimization problem, the mean-semivariance (MSV) model is more
complicated and time-consuming, and their relations are unbalanced because they conflict …

This article addresses decentralized robust portfolio optimization based on multiagent
systems. Decentralized robust portfolio optimization is first formulated as two distributed …

Due to the volatility and uncertainty of the financial market, investors often use the form of
portfolio to actively manage their assets. Portfolio optimization (PO) is becoming more and …

Particle swarm optimization (PSO) is a widely embraced meta-heuristic approach to tackling
the complexities of multi-objective optimization problems (MOPs), renowned for its simplicity …