natural frequency is one of the parameters that represent useful information about the dynamic behavior of structures. controlling this parameter can decrease the probability of damage under dynamic loading. weight optimization on layout and sizing with frequency constraints is a well known problem because of its highly non-linear behavior. improved ray optimization (iro) algorithm is utilized ...

In recent work on open, privacy-preserving, accountable surveillance, we have proposed the use of cryptographic protocols that enable law-enforcement and intelligence agencies to obtain actionable information about targeted users of mass-communication systems without intruding on the privacy of untargeted users. Our suggestion that appropriate technology, combined with sound policy and the rule...

ABSTRACT NETWORK 2001 has been developed to provide transportation planners with additional flexibility in analyzing road systems. While NETWORK 2000 was limited to minimizing costs, NETWORK 2001 can use weighted objective function components to minimize road system length. This paper presents NETWORK 2001 and the new algorithm implemented in the program with its applications. Total open road l...

We introduce an approach to optimize a machine translation (MT) system on multiple metrics simultaneously. Different metrics (e.g. BLEU, TER) focus on different aspects of translation quality; our multi-objective approach leverages these diverse aspects to improve overall quality. Our approach is based on the theory of Pareto Optimality. It is simple to implement on top of existing single-objec...

This chapter reviews the multicriteria analysis applied to the selection problems in agricultural systems. It also discusses life cycle impact assessment (LCIA) from the decision analytic framework. Special attention is paid to the attributes (evaluation criteria) used for evaluating agricultural systems by considering their impacts on the environment. Problem structuring in decision analysis, ...

This paper addresses a multiple objective optimization model to determine the file allocation and query routing assignment in a distributed information system. The problem is formulated as a zero-one integer nonlinear programming problem with multiple objectives. The optimization problem under consideration is shown to be NP-hard. We adopt an iterative improvement procedure, which gives the Par...

In cognitive radio network model consisting of secondary users and primary users, in order to solve the difficult multi-objective spectrum allocation issue about maximizing network efficiency and users’ fairness to access network, this paper proposes a new discrete multi-objective combinatorial optimization mechanism— HJ-DQPSO based on Hooke Jeeves (HJ) and Quantum Particle Swarm Optimization (...

Pareto optimization, that includes the simultaneous optimization of multiple conflict objectives, has been employed as a high level strategy to reduce the effect of local optima (Segura et al. 2013). This approach was first introduced in (Louis and Rawlins 1993), and later reinvestigated and termed as multi-objectivization in (Knowles, Watson, and Corne 2001). Since then it has been studied by ...

In this paper, we consider the problem of synthesizing online optimal flight controllers, in the presence of multiple objectives. The problem is cast as an adaptive Multi-Objective Optimization (MO-Op) flight control problem, in which a control policy is sought that attempt to optimize over multiple, sometimes conflicting objectives. A solution strategy utilizing Gaussian Process (GP) based ada...

We study two-player stochastic games, where the goal of one player is to satisfy a formula given as a positive boolean combination of expected total reward objectives and the behaviour of the second player is adversarial. Such games are important for modelling, synthesis and verification of open systems with stochastic behaviour. We show that finding a winning strategy is PSPACE-hard in general...