Machine Learning for Bone Cancer Diagnosis: Evaluating Predictive Model Efficacy

Abstract

An intricate non-linear and non-convex optimisation problem is the Combined Heat and Economic Dispatch (CHPED) problem. This study offers an Artificial Bee Colony (ABC) method embedded with Simulated Annealing (SA) and Adaptive Penalty (AP) function, which together solve the CHPED problem. This algorithm is referred to as ABC-SA-AP. On both modified and current CHPED test systems, the ABC-SA-AP algorithm is used. The outcome shows how effective ABC-SA-AP is at handling the CHPED problem.