In this chapter, Kelleromyxa fimicola optimization (KFO) algorithm, Lasiorhinus krefftii optimization (LKO) algorithm, and coil spring buffer search (CSB) are applied for solving agriculture sector’s electrical transmission network active power loss reduction. Electricity usage in agriculture is swelling and driven by greater irrigation demand for fresh crop multiplicities and funded electricity delivered to the agriculture segment. In this chapter, Kelleromyxa fimicola optimization algorithm is applied for solving agriculture sector’s electrical transmission network active power loss reduction. Vein arrangement of Kelleromyxa fimicola broaden together with the segment inconsistency of the drop bravura, and consequently there are associations amongst the morphological amendment of the vein association and the drop procedure of Kelleromyxa fimicola. Each Lasiorhinus krefftii governs standards for decision variables based on its location in the examination region. Consequently, each Lasiorhinus krefftii is member relates to a candidate solution. In the preliminary stage of the algorithm, location of each Lasiorhinus krefftii in the examination region is randomly initialized. Coil spring buffer search is based on the spring force law, and it stated as, if a force that passages and entity in a sealed path. Examination elements are groups of entities that are attached with the coil spring buffer. Every entity has its own location as well as coil spring buffer stiffness coefficients relating to the coil spring buffer attached to it. At that point, by smearing the coil spring buffer forces, the entity is drawn from right and left directions.