Pages that link to "Item:Q2507565"
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The following pages link to A genetic algorithm for two-stage transportation problem using priority-based encoding (Q2507565):
Displaying 28 items.
- Variable neighborhood search for the bi-objective post-sales network design problem: a fitness landscape analysis approach (Q337234) (← links)
- A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level (Q345797) (← links)
- Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments: NSGA-II and NRGA (Q508948) (← links)
- The grey linear programming approach and its application to multi-objective multi-stage solid transportation problem (Q522400) (← links)
- Reverse logistics network design: a water flow-like algorithm approach (Q522416) (← links)
- Genetic algorithm based fuzzy stochastic transportation programming problem with continuous random variables (Q522436) (← links)
- A graph theoretic-based heuristic algorithm for responsive supply chain network design with direct and indirect shipment (Q543889) (← links)
- A new spanning tree-based genetic algorithm for the design of multi-stage supply chain networks with nonlinear transportation costs (Q833452) (← links)
- Variations in the flow approach to CFCLP-TC for multiobjective supply chain design (Q1719200) (← links)
- The effect of various parameters of solution methodology on a flexible integrated supply chain model (Q1721147) (← links)
- A genetic algorithm for solving the fixed-charge transportation model: two-stage problem (Q1761123) (← links)
- An amoeboid algorithm for solving linear transportation problem (Q1782620) (← links)
- A comparison of genetic representations for multi-objective shortest path problems on multigraphs (Q2057115) (← links)
- Extension of particle swarm optimization algorithm for solving two-level time minimization transportation problem (Q2095690) (← links)
- Credit linked two-stage multi-objective transportation problem in rough and bi-rough environments (Q2156925) (← links)
- Multi-objective optimization for a closed-loop network design problem using an improved genetic algorithm (Q2290090) (← links)
- Multi-depot vehicle routing problem with time windows considering delivery and installation vehicles (Q2292364) (← links)
- Breakable fuzzy multi-stage transportation problem (Q2356346) (← links)
- Genetic algorithms in supply chain management: a critical analysis of the literature (Q2359911) (← links)
- Stochastic supply chain, transportation models: implementations and benefits (Q2425017) (← links)
- A memetic algorithm for bi-objective integrated forward/reverse logistics network design (Q2655961) (← links)
- Balancing of two-sided disassembly lines: problem definition, MILP model and genetic algorithm approach (Q2664414) (← links)
- A genetic algorithm with two-step rank-based encoding for closed-loop supply chain network design (Q2686735) (← links)
- Using genetic algorithm and TOPSIS technique for multiobjective transportation problem: a hybrid approach (Q3066952) (← links)
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- Hybrid Genetic Algorithm and Invasive Weed Optimization via Priority Based Encoding for Location-Allocation Decisions in a Three-Stage Supply Chain (Q4978465) (← links)
- A Straight Priority-Based Genetic Algorithm for a Logistics Network (Q5247688) (← links)
- An improved evolutionary algorithm for the two-stage transportation problem with fixed charge at depots (Q5964851) (← links)
