Relaxed I-SHOT trust-region algorithm for solving multi-objective economic emission load dispatch problem

Abstract

In this paper, a new algorithm for tackling nonlinear constrained multi-objective optimization problems is introduced. This algorithm, which we call relaxed the interactive sequential hybrid optimization technique (relaxed I-SHOT), is based on a hybrid method between the I-SHOT method and step method (STEM) to transform a multi-objective problem into a single-objective one. An active set strategy is used together with a suggested penalty method to transform a single-objective constrained optimization problem into unconstrained one. A trust-region globalization strategy is added to the algorithm to solve the obtained unconstrained problem to ensure global convergence. The suggested approach is utilized to solve the multi-objective economic emission load dispatch (EELD) problems to assert the effectiveness of the proposed algorithm. The proposed algorithm is tested on the standard IEEE 30-bus 6-generator test system. The results of the proposed approach are compared against those reported in the literature. The comparison asserts the potential of the proposed algorithm to solve the EELD problem.

Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach

“…The technique utilized to solve the proposed model is the Relaxed-Interactive Sequential Hybrid Optimization Technique (RI-SHOT) developed in the work of El-sobky et al ( 2018) [68]. This technique is an interactive classical method hybrid between the weighted, -constrained, and step methods.…”