Adaptive cultural algorithm-based cuckoo search for time-dependent vehicle routing problem with stochastic customers using adaptive fractional Kalman speed prediction
DOI10.1155/2020/7258780zbMath1459.90042OpenAlexW3043895796WikidataQ115925372 ScholiaQ115925372MaRDI QIDQ2193401
Publication date: 25 August 2020
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2020/7258780
Applications of mathematical programming (90C90) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Stochastic learning and adaptive control (93E35)
Cites Work
- Cuckoo search and firefly algorithm. Theory and applications
- Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation
- Stochastic vehicle routing: A comprehensive approach
- A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty
- Hybrid metaheuristics for the vehicle routing problem with stochastic demands
- Two stage linear programming under uncertainty with 0–1 integer first stage variables
- Nonlinear Kalman Filtering With Divergence Minimization
- A Vehicle Routing Problem with Stochastic Demand
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