Economic-Based Dispatch Problem

Singh et al. [165] proposed a new modified EHO called MEHO. MEHO was further applied to solve the optimization of linear as well as nonlinear cost functions for economic load dispatch problems. The results obtained showed that the total operating cost obtained by MEHO was less than that of EHO [105], PSO [2], and ACO [55]. The results showed that the MEHO methods had potential for solving linear as well as nonlinear optimization problems.

#### Stochastic Inequality Constrained Optimization Problems

Horng et al. [166] presented a heuristic method coupling EHO with ordinal optimization (EHOO) to resolve stochastic inequality constrained optimization problems. The proposed method utilized an improved elephant herding optimization to achieve diversification with an accelerated optimal computing budget allocation. The simulation experiment results were obtained by EHOO and compared with three optimization methods (PSO [2], GAs [1], and ES [79]). The results showed that the EHOO approach obtained higher computational e fficiency than the other three comparative methods.
