Social Cognitive Optimization (SCO): Project Portal – Xiao-Feng Xie, Ph.D.

Social Cognitive Optimization (SCO) is an optimization algorithm for solving the (constrained) numerical optimization problem. SCO is a simple agent-based model based on the observational learning mechanism in human social cognition. Related Information: Please find other related code and software in our Source Code Library. License information: SCO is free software; you can redistribute and/or modify it under the terms of Creative Commons Non-Commercial License 3.0. Problem to be solved: (constrained) numerical optimization problem (NOP), or called the nonlinear programming problem.