Combined heat and power dynamic economic emission dispatch (CHPDEED) problem is a complicated nonlinear constrained
multiobjective optimization problem with nonconvex characteristics. CHPDEED determines the optimal heat and power schedule
of committed generating units by minimizing both fuel cost and emission simultaneously under ramp rate constraints and other
constraints. This paper proposes hybrid differential evolution (DE) and sequential quadratic programming (SQP) to solve the
CHPDEED problem with nonsmooth and nonconvex cost function due to valve point effects. DE is used as a global optimizer,
and SQP is used as a fine tuning to determine the optimal solution at the final. The proposed hybrid DE-SQP method has been
tested and compared to demonstrate its effectiveness.