The paradigm of multi-criteria decision making considers not only many attributes in the decision-making process but also the optimization of a number of objectives to accomplish certain targets. A multi-objective programming problem is a problem involving the simultaneous optimization of various, often conflicting, objective functions under certain given constraints to find compromise solution...

In this article, we propose a multiple objective optimization based approach for the short term scheduling of batch plants to select superior solutions when compared to the single objective problem. Two alternate approaches to optimality, viz. lexicographic and pareto-optimality based formulations are considered here. We demonstrate the suitability of lexicographic optimization for the case whe...

Environmental management and planning problems cover important real life areas. These problems may include the scarcity of groundwater resource, the optimality of a multi-reservoir system, the management of forest resources, the air quality monitoring networks, the municipal solid waste policies, etc. Management and planning targets by authorities consist in allocations at appropriate places an...

Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different formulations of objectives and varying regularization strategies. In this paper we present a unifying general optimization criterion for multiple kernel learning and show how existing formulations are subsumed as special...

This paper presents a freight transport optimization model that simultaneously incorporates multimodal infrastructure, hub-based service network structures, and the various design objectives of multiple actors. The model has been calibrated and validated using real-life data from the case study of hinterland container transport of the Netherlands, where CO2 pricing, terminal network configurati...

The optimal placement of STATic synchronous COMpensator (STATCOM) for voltage stability improvement in power system is the important optimization problem. There are so many research works are carried out in the optimal placement of STATCOM to achieve the various objectives using Particle Swarm Optimization (PSO). In conventional optimization technique the weight-age of objective functions are c...