Indoor room optimal allocation is of great importance in geographic information science (GIS) applications because it can generate effective indoor spatial patterns that improve human behavior and efficiency. However, few research concerning indoor room optimal allocation has been reported. Using an office building as an example, this paper presents an integrative approach for indoor room optim...

 Simulation and optimization are two arguably most used operations research (OR) tools. Optimization intends to choose the best element from some set of available alternatives. Stochastic simulation is a powerful modeling and software tool for analyzing modern complex systems. This capability complements the inherent limitation of traditional optimization, so the combining use of simulation an...

We present the optimal consumption and investment strategy for an investor, endowed with labor income, searching to maximize utility from consumption and terminal wealth when he is restricted to fulfill a binding capital constraint of a European (constraint on terminal wealth) or an American (constraint on the wealth process) type. In both cases the optimal strategy is proven to be of the optio...

in this paper, a location allocation (la) problem in construction and demolition (c&d;) waste management (wm) is studied. a bi-level model for this problem under a fuzzy random environment is presented where the upper level is the governments who sets up the processing centers, and the lower level are the administrators of different construction projects who control c&d; waste and the after tre...

this paper offers an approach that could be useful for diverse types of layout problems or even area allocation problems. by this approach there is no need to large number of discrete variables and only by few continues variables large-scale layout problems could be solved in polynomial time. this is resulted from dividing area into discrete and continuous dimensions. also defining decision var...

We consider the adaptive resource allocation problem in downlink Orthogonal Frequency Division Multiple Access (OFDMA) system with strict packet delay constraints in the range of 1 < D < ∞. In this range of delay constraints, resource optimization has to be simultaneously performed over multiple time slots. Thus optimal allocation decisions require future Channel State Information (CSI) and pac...

This paper proposes a novel transmit power allocation for QAM modulated Multi-Input Multi-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) transmission. This technique consists of adapting the power allocation in the spatial domain in term of the channel conditions by the optimization process based on the optimality of the global Bit Error Rate (BER). Simulation results show sign...

This paper proposes a novel transmit power allocation combined with the phase compensation for OFDM system. This technique consists of adapting the power allocation and the phase compensation in the frequency domain depending on the channel variations. Optimization process is based on the optimality of the global Bit Error Rate (BER). Simulation results show significant performance gains can be...

facility location-allocation models are used in a widespread variety of applications to determine the number of required facility along with the relevant allocation process. in this paper, a new mathematical model for the capacitated multi-facility location-allocation problem with probabilistic customer&amp;#039;s locations and fuzzy customer’s demands under the hurwicz criterion is proposed. ...

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 (...