Pratiksha Saxena

Optimization of Livestock Feed by Blend of Linear Programming and SOMGA

This paper discusses a self-organizing migrating genetic algorithm for animal diet formulation. In the first phase of work, linear models are formulated for minimum cost and maximum shelf life feed quality, and the second phase discusses a self-organizing migrating genetic algorithm to find quick solution. It also compares the results by linear programming technique (LP) and SOMGA and provides the successful application of soft computing technique in the area of animal diet formulation.

Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Optimization techniques have developed into a modern-day solution for real-world problems in various industries. As a way to improve performance and handle issues of uncertainty, optimization research becomes a topic of special interest across disciplines. Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications presents the latest research trends and developments in the area of applied optimization methodologies and soft computing techniques for solving complex problems. Taking a multi-disciplinary approach, this critical publication is an essential reference source for engineers, managers, researchers, and post-graduate students.

Simulation Tool for Assignment Model: ASSOLVE

In this paper, a simulation optimization tool ASSOLVE is proposed for assignment problems. The proposed tool is able to simulate and compute the results for assignment models. It is developed in JavaScript and back-end simulation results are stored for analysis with the help of an effective algorithm. This manuscript proposes a user friendly tool for output performance measurements of classical models of assignment system. Results and analysis are described with the help of numerical example.

Modeling of Thorax for Volumetric Computation Using Rotachora Shapes

This paper presents the scope of mathematical modeling by using uncommon geometric shapes for the computation of thoracic volume. The modeling has been done for Rotachora shapes for estimation and computation of fluid volume present in the thoracic area. Proposed extended model based approach demonstrates the scopes of its sensitivity in terms of volumetric variations with the act of breathe. The act of breathe involved inspiration and expiration states. New models have been constructed to compute the thoracic volumes and their variations are shown with respect to the thoracic impedances. Four dimensional Rotachora shapes are taken into consideration. Human thorax is considered as cubinder in the first stage and as duo cylinder in the second phase under Rotachora shape category. It is observed that the volumes are rhythmically varying with the act of breath for the considered thoracic area along with the varying thoracic impedances. The obtained results validates that the chosen models are closely following the act of breath significantly and hence the obtained result could be utilized for clinical purposes.

EPQ Model with Product Stewardship Approach

From the past few decades, most of the researchers concentrate on recycling of consumer goods to reduce the impact on environment and health, but now it is time to change our basic approach. In this research paper, we elaborate a nascent issue of product stewardship. Economic production model (EPQ) is a production model in which production occur in a time cycle to fulfill the demand. The proposed model we consider a basic EPQ model with all basic setup and product stewardship. In this paper, we investigate a complete and simple elucidation of product stewardship in a lucid manner which corroborated with many illustrations to convey the intend theme. In this proposed model total cost is calculated with convexity and sensitivity analysis.

Impact of variable probability level and nutrient concentration on animal diet formulation

In this paper, nutrient variability inclusion at different probability levels for animal feed formulation is discussed. Mathematical model is formulated by stochastic programming and diets are formulated at five probability levels. Objective functions are set for cost minimization and shelf life maximization of the feed mix. This paper discusses impact of allowed probability of nutrient concentration and variability of nutrient components for 40 models.

Excel Solver for Deterministic Inventory Model: INSOLVER

An excel solver is proposed for optimized result of deterministic inventory models. Seven inventory models including price break models can be solved by using this Excel Solver. This solver is designed by using yes-no algorithm. INSOLVER has benefit of solving even quantity discount inventory models with different price breaks, which makes it unique.

Formulation and Computation of Animal Feed Mix: Optimization by Combination of Mathematical Programming

The aim of this paper is to develop the models for ruminant ration formulation for different weight classes. Least cost ration and better shelf life are taken as main objectives of the study. Firstly the linear programming (LP) models have been developed for obtaining least cost ration. Then stochastic programming (SP) models have been developed to incorporate nutrient variability.

Bector-Chandra type linear programming duality under fuzzy environment with parabolic concave membership functions

This paper presents the study of a pair of primal-dual fuzzy linear programming and establishes duality results. It is based on parabolic concave membership functions. Choice of parabolic concave membership functions makes it unique and leads to the nonlinear programming. Duality results have been established using the aspiration level approach. A numerical example is also taken to demonstrate the approach and verification of results.

Formulation and computation of cattle feed mix by using TORA and LINGO: Minimization of adverse effect of nutrient ingredient

This paper presents mathematical models for multi-criteria objectives for animal diet formulation using LINGO and TORA. It represents formulation and computation techniques with the help of these software. Multi-objectives of this paper are; minimization of cost for cattle diet, better shelf life for feed mix and minimization of adverse effect of nutrient ingredients crude protein and phosphorus. Minimization of adverse effect of nutrient ingredients is done by using goal programming which gives a new dimension to this work.