Journal of Decision Science and Optimization (JDSO) is a peer-reviewed open-access journal dedicated to advancing research in decision science, optimization techniques, and their interdisciplinary applications. JDSO publishes high-quality original research articles, reviews, and case studies covering, but not limited to, the following areas:

• Decision Science

  Decision analysis, multi-criteria decision-making (MCDM), risk assessment, behavioral decision-making, and decision support systems.

  
  

• Optimization Techniques

  Linear and nonlinear optimization, stochastic and robust optimization, combinatorial optimization, metaheuristics, and artificial intelligence-based optimization methods.

  
  

• Applications

  Supply chain management, logistics, engineering, finance, healthcare, energy systems, smart cities, and industrial management.

  
  

• Data-Driven Approaches

  Machine learning for optimization, big data analytics in decision-making, and computational intelligence.