Journal of Global Optimization
An enhanced differential evolution algorithm for daily optimal hydro generation scheduling
Computers & Mathematics with Applications
A hybrid differential evolution method for dynamic economic dispatch with valve-point effects
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An improved self-adaptive PSO technique for short-term hydrothermal scheduling
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Applied Computational Intelligence and Soft Computing
GenDocSum+MCLR: Generic document summarization based on maximum coverage and less redundancy
Expert Systems with Applications: An International Journal
Multiple documents summarization based on evolutionary optimization algorithm
Expert Systems with Applications: An International Journal
Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal
Knowledge-Based Systems
Computers and Industrial Engineering
Hi-index | 12.06 |
The dynamic economic dispatch (DED) is a complicated nonlinear dynamic constrained problem which occupies an important role in the economic operation of power system. An adaptive hybrid differential evolution algorithm (AHDE) is proposed in this paper to solve DED problem. In the proposed algorithm, an adaptive dynamic parameter control mechanism is adopted to obtain parameter settings in differential evolution algorithm (DE). Moreover, a local random search (LRS) operator is integrated with DE to avoid premature convergence. In view of the difficulties of handling the complicated constraints of DED problem, a new heuristic constraints handling method which does not require penalty factor settings is presented. The feasibility and effectiveness of the proposed method is demonstrated for an application example. Compared with other algorithms, AHDE can find the global optimum dispatch result with a shorter computational time along with higher effectiveness and robustness.