Policy makers can employ different instruments to address environmental policy objectives, and the guiding principles for a consistent system of environmental policy are (1) the policies should be effective, (2) there should be one objective per instrument, and (3) multiple objectives and multiple policy instruments must be mutually independent of each other. This paper evaluates these three pr...

We present a methodology to address the general multiobjective (GMO) control problem involving the L1 norm, U2 norm, U, norm and time-domain constraint (TDC). We show that the problem resulted from imposing a regularizing condition always admits an optimal solution, and suboptimal solutions with performance arbitrarily close to the optimal cost can be obtained by constructing two sequences of f...

We consider the automatic determination of application-specific memory subsystems via superoptimization, with the goals of reducing memory access time and of minimizing writes. The latter goal is of concern for memories with limited write endurance. Our subsystems outperform general-purpose memory subsystems in terms of performance, number of writes, or both.

In this paper we argue that the evolution of protocols is one of the most important yet least understood aspects of the governance of information systems. At the deepest level, security protocols determine the power structure of a system: who can do what with whom. The development, adoption, spread and evolution of protocols, and competition between them, are both political and economic activit...

We propose the bounded multi-objective max-sum algorithm (B-MOMS), the first decentralised coordination algorithm for multi-objective optimisation problems. B-MOMS extends the max-sum message-passing algorithm for decentralised coordination to compute bounded approximate solutions to multi-objective decentralised constraint optimisation problems (MO-DCOPs). Specifically, we prove the optimality...

Optimization is a decision Science which helps managements to take better decisions and refers to finding the values of decision (or free) variables. It is ubiquitous in daily life people use optimization, often without actually realizing, for simple things such as traveling from one place to another and time management, as well as for major decisions such as finding the best combination of stu...

Rich vehicle routing problems try to represent situations that can be found in reality. Starting from a case study, in this paper a rich vehicle routing problem is analyzed. The elements that characterize it are mainly the presence of multiple objectives, constraints concerning multiple time windows, heterogeneous fleet, maximum duration of the subtours, and multiple visits. Two variants of the...

In this paper, we address solution methodologies of an optimization problem under multiple scenarios. Often in practice, a problem needs to be considered for different scenarios, such as evaluating for different loading conditions, different blocks of data, multi-stage operations, etc. After reviewing various single-objective aggregate methods for handling objectives and constraints under multi...