Genetic Algorithm and Particle Swarm Optimization Techniques in Supply Chain Design Problems Chapter uri icon

abstract

  • Metaheuristics has become a top research area. Numerous optimization problems have been solved by metaheuristics as they showed comprehensive improvements to solve these intractable optimization problems. Complex problems like supply chain design problems need strategic decisions, and metaheuristics can intensify the decisions while designing supply chain network. In this chapter, the authors have introduced how nature memetic algorithms (e.g., genetic algorithm and particle swarm algorithms) are implemented to solve supply chain network design problem. A discussion about the recent research in this field shows an important direction to the future research.

publication date

  • 2020

number of pages

  • 13

start page

  • 425

end page

  • 438