An adaptive polyploid memetic algorithm for scheduling trucks at a cross-docking terminal
DOI10.1016/j.ins.2021.02.039zbMath1526.90014OpenAlexW3134504082MaRDI QIDQ6064501
Publication date: 9 November 2023
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.02.039
evolutionary algorithmshybridizationtruck schedulingpolyploidycross-docking terminalsservice cost savings
Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (12)
Cites Work
- Unnamed Item
- A new population based adaptive domination change mechanism for diploid genetic algorithms in dynamic environments
- Probabilistic tabu search for the cross-docking assignment problem
- An online-learning-based evolutionary many-objective algorithm
- AnD: a many-objective evolutionary algorithm with angle-based selection and shift-based density estimation
- An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection
- The vehicle routing and scheduling problem with cross-docking for perishable products under uncertainty: two robust bi-objective models
- Integrated truck and workforce scheduling to accelerate the unloading of trucks
- AREA: an adaptive reference-set based evolutionary algorithm for multiobjective optimisation
- An adaptive clustering-based evolutionary algorithm for many-objective optimization problems
- Introduction to evolutionary computing
This page was built for publication: An adaptive polyploid memetic algorithm for scheduling trucks at a cross-docking terminal