In this paper, one of the evolutionary algorithm based method, Non-Dominated Sorting Genetic Algorithm (NSGA) has been presented for the Volt / Var control in power distribution systems with dispersed generation (DG). The proposed method is better suited for volt/var control problems. Genetic algorithm approach is used due to its broad applicability, ease of use and high accuracy. A multi-objec...

An approach for assignment of the optimal location and tap changer adjustment related to flux-lock type superconducting fault current limiters with tap changer (TC-FLSFCL) is used in this paper by debating the reduction of fault current flowing from each device and enhancement of reliability varying with customer type in a distribution network connected with distribution generation (DG). TC-FLS...

Abstract This paper proposes a method for improving the diversity of Pareto front and uniformity non-dominated solution distributions in fast elitist sorting genetic algorithm (NSGA-II), which is an evolutionary multi-objective optimization algorithm. Conventional NSGA-II has excellent convergence to front, but it been reported that some test cases, does not produce more diverse distribution th...

Word alignment is a key task in statistical machine translation (SMT). This paper presents a novel model for this task. In this model, word alignment is considered as amultiobjective optimization problem and solved based on the non-dominated sorting genetic algorithm II (NSGA-II), which is one of the best multiobjective evolutionary algorithms (MOEA). There are two advantages of the proposed mo...

Tailored prosthesis design must to be done in as accurately as possible way to fit particular patient requirements. Aiming this intent, some techniques based on image processing have been being studied. In this context, the image quality is highly important and decisive in the accuracy, or even feasibility, of these methodologies. To do so, the image treatment is done through the gamma correcti...

Optimum controller placement in the presence of several conflicting objectives has received significant attention Software-Defined Wide Area Network (SD-WAN) deployment. Multi-objective evolutionary algorithms, like Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Particle Swamp Optimization (MOPSO), have proved helpful solving Controller Placement Problem (CPP) SD-WAN. However, these a...

A redundancy allocation problem (RAP) is a well-known NP-hard problem that involves the selection of elements and redundancy levels to maximize the system reliability under various system-level constraints. In many practical design situations, reliability apportionment is complicated because of the presence of several conflicting objectives that cannot be combined into a single-objective functi...

Minimizing the makespan is an important research topic in manufacturing engineering because it accounts for significant production expenses. In bakery manufacturing, ovens are high-energy-consuming machines that run throughout time. Finding optimal combination of and oven idle time decisive objective space can result substantial financial savings. This paper investigates hybrid no-wait flow sho...

To improve customer satisfaction of cold chain logistics fresh agricultural goods enterprises and reduce the comprehensive distribution cost composed fixed cost, transportation cargo damage refrigeration time penalty a multi-objective path optimization model products considering client is constructed. The solved using an enhanced Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II), differ...