Multi-strategy ensemble particle swarm optimization for dynamic optimization
Information Sciences: an International Journal
Active contour model via multi-population particle swarm optimization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A model of portfolio optimization using time adapting genetic network programming
Computers and Operations Research
A hybrid particle swarm optimization algorithm for the vehicle routing problem
Engineering Applications of Artificial Intelligence
Genetic relation algorithm with guided mutation for the large-scale portfolio optimization
Expert Systems with Applications: An International Journal
Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization
Expert Systems with Applications: An International Journal
Constrained Portfolio Selection using Particle Swarm Optimization
Expert Systems with Applications: An International Journal
Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Particle swarm optimization for determining fuzzy measures from data
Information Sciences: an International Journal
Evaluation of parallel particle swarm optimization algorithms within the CUDATM architecture
Information Sciences: an International Journal
Cellular particle swarm optimization
Information Sciences: an International Journal
Enhancing particle swarm optimization using generalized opposition-based learning
Information Sciences: an International Journal
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
Information Sciences: an International Journal
Robust optimization framework for cardinality constrained portfolio problem
Applied Soft Computing
Expert Systems with Applications: An International Journal
Niching particle swarm optimization with local search for multi-modal optimization
Information Sciences: an International Journal
Multiobjective Evolutionary Algorithms for Portfolio Management: A comprehensive literature review
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
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In this paper, we propose a novel Two-level Particle Swarm Optimization (TLPSO) to solve the credit portfolio management problem. A two-date credit portfolio management model is considered. The objective of the manager is to minimize the maximum expected loss of the portfolio subject to a given consulting budget constraint. The captured problem is very challenging due to its hierarchical structure and its time complexity, so the TLPSO is designed for the credit portfolio management model. The TLPSO has two searching processes, namely, ''internal-search'', the searching process of the maximization problem and ''external-search'', the searching process of the minimization problem. The performance of TLPSO is then compared with both the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO), in terms of efficient frontiers, fitness values, convergence rates, computational time consumption and reliability. The experiment results show that TLPSO is more efficient and reliable for the credit portfolio management problem than the other tested methods.