Comparative analysis of the particle swarm optimization and mixed integer linear programming methods for transmission congestion management in deregulated power systems by Emmanuel Ogunwole (20202255)

Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications by Joshua Lukemire (4850356)

AFO-ideal point method algorithm flowchart. by Yuhua Zhu (413349)

“…The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). …”

A model for container stowage planning considering stability constraints by Jingwen Wu (80821)

“…To solve the model efficiently, we design a dynamic weight and time-varying particle swarm optimization (PSO) algorithm, which combines particle classification and time-varying acceleration constants. …”

Parameter description. by Yuhua Zhu (413349)

“…The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). …”

Alternative logistics center basic information. by Yuhua Zhu (413349)

“…The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). …”

Distribution of nodes in the area. by Yuhua Zhu (413349)

“…The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). …”

DataSheet1_Bi-Level Optimization Dispatch of Integrated-Energy Systems With P2G and Carbon Capture.docx by Zongnan Zhang (10463649)

“…Moreover, the upper model is solved by transforming the model into a mixed-integer linear programming problem and calling CPLEX, and the lower model is a multi-objective planning problem, which is solved by improving the small-habitat particle swarm algorithm. …”