Bi-objective jellyfish algorithm for team formation problem.

ABSTRACT: Team Formation (TF) problems represent one of the most significant areas in computer science and optimization. The challenge lies in forming the best team of experts capable of completing a specific task at the lowest cost, which is a highly complex problem. Furthermore, the TF problem involves multiple attributes, each of which can be treated as a distinct objective that needs to be optimized. The problem solution varies according to the specified objectives. In this study, the TF problem is formulated as a bi-objective optimization problem, and a novel algorithm, Chaotic Jellyfish Search with Enhanced Swap Operator (CJSESOS), is proposed. This method is based on the Jellyfish Search Optimizer (JSO), a recent swarm intelligence algorithm known for its superior performance in various optim

SUBMITTER: Salam MA 

PROVIDER: S-EPMC12432225 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature