In the paper, a novel stochastic Multi-Objective Self-Organizing Migrating Algorithm (MOSOMA) is introduced. For the search of optima, MOSOMA employs a migration technique used in a single-objective Self Organizing Migrating Algorithm (SOMA). In order to obtain a uniform distribution of Pareto optimal solutions, a novel technique considering Euclidian distances among solutions is introduced. MO...

Penjadwalan operasi pasien merupakan aktifitas penting pada kegiatan operasional rumah sakit, karena menentukan waktu pasien-pasien tertangani dengan baik. Permasalahan ini dimodelkan sebagai masalah optimasi multi-obyektif yaitu meminimalkan yang digunakan saat tindakan operasi. Masalah penjadwalan dirumuskan mixed integer programming (MIP), sehingga variabel merepresentasikan jadwal kasus lay...

This work presents a method for finding diversity set operating points, which are Pareto optimal and diverse, to digital subscriber lines (DSL). Several works presented in the literature have proposed algorithms for optimizing data transmission in DSL lines, which results in a unique operating point for the modems. These works use spectrum balancing algorithms to solve the power allocation prob...

The design of adsorption systems for separation CO2/N2 in carbon capture applications is notoriously challenging because it requires constrained multiobjective optimization to determine appropriate combinations a moderately large number system operating parameters. status quo the literature use nondominated sorting genetic algorithm II (NSGA-II) solve problem. This approach 1000s time-consuming...

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...

An efficient hybrid approach for the design of water distribution systems (WDSs) with multiple objectives is described in this paper. The objectives are the minimization of the network cost and maximization of the network resilience. A self-adaptive multiobjective differential evolution (SAMODE) algorithm has been developed, in which control parameters are automatically adapted by means of evol...

This paper presents a new methodology of combined use of the nondominated sorting genetic algorithm II (NSGA-II) and the approach of successive elimination of alternatives based on order and degree of efficiency (SEABODE) in identifying the most preferred multireservoir water supply rules in dry years. First, the suggested operation rules consists of a two-point type time-varying hedging policy...

In this study, our aim is to predict the compositions of zinc electroplating bath using machine learning method and optimize organic additives with NSGA-II (Non-dominated Sorting Genetic Algorithm) optimization algorithm. Mask RCNN was utilized classify coated plates according their appearance. The names classes were defined as ”Full Bright”, Fail”, ”HCD Fail” ”LCD Fail”. intersection over unio...