  Combined heat and power economic dispatch (CHPED) problem is a sophisticated
constrained nonlinear optimization problem in a heat and power production
system for assigning heat and power production to minimize the production
costs. To address this challenging problem, a novel social cognitive
optimization algorithm with tent map (TSCO) is presented for solving the CHPED
problem. To handle the equality constraints in heat and power balance
constraints, adaptive constraints relaxing rule is adopted in constraint
processing. The novelty of our work lies in the introduction of a new powerful
TSCO algorithm to solve the CHPED issue. The effectiveness and superiority of
the presented algorithm is validated by conducting 2 typical CHPED cases. The
numerical results show that the proposed approach has better convergence speed
and solution quality than all other existing state-of-the-art algorithms.
