In condition based maintenance (CBM) optimization, the main optimization objectives include maximizing reliability and minimizing maintenance costs, which are often times conflicting to each other. In this work, we develop a physical programming based approach to deal with the multi-objective condition based maintenance optimization problem. Physical programming presents two major advantages: (...

Response adaptive designs for problems involving multiple conflicting goals are considered. The often referenced clinical trial dilemma of trying to determine the better of two independent Bernoulli populations while simultaneously increasing successful results during the trial is used. In evaluating the continuum of performance tradeoffs between the two objectives it is shown that only minor d...

It is hard to obtain the entire solution set of a many-objective optimization problem (MaOP) by multiobjective evolutionary algorithms (MOEAs) because of the difficulties brought by the large number of objectives. However, the redundancy of objectives exists in some problems with correlated objectives (linearly or nonlinearly). Objective reduction can be used to decrease the difficulties of som...

In this paper multi-objective genetic algorithms were employed for Pareto approach optimization of turboprop engines. The considered objective functions are used to maximize the specific thrust, propulsive efficiency, thermal efficiency, propeller efficiency and minimize the thrust specific fuel consumption. These objectives are usually conflicting with each other. The design variables consist ...

The design of a supply chain network (SCN) should address two conflicting objectives, i.e. inexpensive yet reliable operation. This paper presents models to choose facilities and determine distribution options while considering the expected risk not serving customers attributed shortages. goal is with lower cost under traditional objectives. We formulate stochastic mixed-integer biobjective pro...

In many geometry processing applications, it is required to improve an initial mesh in terms of multiple quality objectives. Despite the availability of several mesh generation algorithms with provable guarantees, such generated meshes may only satisfy a subset of the objectives. The conflicting nature of such objectives makes it challenging to establish similar guarantees for each combination,...

When researchers complete a manuscript, they need to choose a journal to which they will submit the study. This decision requires to navigate trade-offs between multiple objectives. One objective is to share the new knowledge as widely as possible. Citation counts can serve as a proxy to quantify this objective. A second objective is to minimize the time commitment put into sharing the research...

This article overviews a recent PhD dissertation representing the first effort at many-objective optimization in job shop scheduling (JSS). The thesis develops genetic programming hyperheuristic (GP-HH) approaches to evolve effective dispatching rules for many conflicting objectives JSS problems. aim is develop GP-HH methods that alleviate issues related problems and new capable of enhancing sh...

Past research efforts in congressional redistricting have focused on party bias plans without ever directly measuring the attitudes of state legislators. In this study we specifically measure goals that legislators would like to achieve as they formulate a plan. Overall, possess loyalty necessary produce partisan plans, but number conflicting demands placed upon them inhibit full realization ob...