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In multi-objective optimization, the goal is to find the non-dominated or Pareto-optimal set that reveals the optimal trade-offs among the conflicting objectives. Conventionally, the Decision-Maker (DM) selects their preferred solution from this set post-...

The choice of primer designs for polymerase chain reaction experiments affects the results. Designing optimal combinations of forward and reverse primers requires solving multiple conflicting objectives simultaneously. Most of the tools for primer design ...

The ceramic industry is a representative traditional industry in Guangdong Province, where its degree of informatization is low, and the design of ceramic formula mainly depends on human experience. To intelligently generate ceramic formulas, two ...

Many libraries of open-source implementations of multiobjective optimization problems (MOPs) and evolutionary algorithms (MOEAs) have been developed in recent years. These libraries enable researchers to solve their MOPs using diverse MOEAs. Some ...

A central concern in an interactive intelligent system is optimization of its actions, to be maximally helpful to its human user. In recommender systems for instance, the action is to choose what to recommend, and the optimization task is to recommend ...

This paper outlines a method of non-stationary reinforcement-based learning for feature selection. The method was developed for the Watershed REstoration using Spatio-Temporal Optimization of REsources (WRESTORE) system, which is a decision support ...

WRESTORE (Watershed REstoration using SpatioTemporal Optimization of REsources) (http://wrestore.iupui.edu), is a web-based environmental decision support system where stakeholders collaborate with an interactive optimization algorithm to design user-...

This article presents a review and a classification of interactive optimization methods. These interactive methods are used for solving optimization problems. The interaction with an end user or decision maker aims at improving the efficiency of the ...

Optimization models used in planning and scheduling systems are not exempt from inaccuracies. These optimization systems often require an expert to assess solutions and to adjust them before taking decisions. However, adjusting a solution computed by an ...

Menu systems are challenging to design because design spaces are immense, and several human factors affect user behavior. This paper contributes to the design of menus with the goal of interactively assisting designers with an optimizer in the loop. To ...

Since its inception, SBSE has supported many different software engineering activities, including some which aim on improving or correcting existing systems. In such cases, search results may propose changes to the organization of the systems. Extensive ...

This paper focuses on reinforcement learning (RL) with limited prior knowledge. In the domain of swarm robotics for instance, the expert can hardly design a reward function or demonstrate the target behavior, forbidding the use of both standard RL and ...

Image thresholding is a method of image segmentation which applies to grayscale images. Thresholding is a challenging task and many techniques have been introduced to offer a global technique that can be applied to all kind of images. In this paper an ...

Enterprise reorganization and development of capital market are in a benign, mutual and optimum course. Development of capital market is an important institutions precondition for normalizing enterprise reorganization, and enterprise reorganization also ...

Interest has been growing within HCI on the use of machine learning and reasoning in applications to classify such hidden states as user intentions, based on observations. HCI researchers with these interests typically have little expertise in machine ...

The article presents a framework for the resolution of rich vehicle routing problems which are difficult to address with standard optimization techniques. We use local search on the basis on variable neighborhood search for the construction of the ...

In the present paper, we introduce a multi-user interactive framework for solving complex optimization problems. The framework, called Co-UserHints, provides a visual computational environment for interaction and visualization. We demonstrate its ...

Scheduling, routing, and layout tasks are examples of hard optimization problems with broad application in industry. Past research in this area has focused on algorithmic issues. However, this approach neglects many important human-computer interaction ...

The traditional approach of handling motion tracking and structure from motion (SFM) independently in successive steps exhibits inherent limitations in terms of achievable precision and incorporation of prior geometric constraints about the scene. This ...

In this paper we describe iNEOS, an Internet-based environment which facilitates the solution of complex nonlinear optimization problems. It enables a user to easily invoke a remote optimization code without having to supply the model to be optimized. ...