the world is facing severe challenges in meeting the rapidly growing demand for water resources. in addition,irrigation water which is the largest use of water in most developing countries and arid and semi arid regions, will likelyhave to be diverted increasingly to meet the needs of the households in urban areas and industry sectors whilst remaining aprime engine of agricultural growth. a lin...

The Colorado River basin is facing a growing water shortage. Under fixed set of supply and demand conditions, we establish linear programming model based on time to solve the problem allocation. Take as objective function, get distribution coefficient α, β obtain from Hoover dam Glen Canyon dam. Finally it concluded that optimal function obtained when α 0.8 1.0. Dam 6947519530 m3 9309140232 m3.

This paper assumes each user has more than one queue, derives a new packet-dependant proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new cross-layer packet-dependant OFDM scheduling schemes based on proportional fairness for heterogeneous classes of traffic. Scenario 1, scenario 2 and scenario 3 lead r...

in this paper, landscape allocation using genetic algorithm (laga), a spatial multi-objective land use optimization software is introduced. the software helps in searching for optimal land use when multiple objectives such as suitability, area, cohesion and edge density indices are simultaneously involved. laga is a flexible and easy to use genetic algorithm-based software for optimizing the sp...

Aiming at the task allocation in multi-target tracking of wireless sensor networks, the discrete particle swarm optimization based on nearest-neighbor is presented to reduce the communication energy consumption between nodes. First, task allocation is initialized with nearest neighbor algorithm. Then the fitness function is compared through change task allocation matrix to achieve task allocati...

the paper discusses the location-allocation model for logistic networks and distribution centers through considering uncertain parameters. in real-world cases, demands and transshipment costs change over the period of the time. this may lead to large cost deviation in total cost. scenario based robust optimization approaches are proposed where occurrence probability of each scenario is not know...

in this paper, the energy efficient resource allocation in noma-based heterogeneous cellular network(hcn) systems is investigated. since energy consumption and its limitations is one of the important challenges in fifth generation of cellular networks (5g), we propose a resource allocation problem which allocates power and subcarriers to multiple users to achieve the best system energy efficien...

credit allocation through the usage of portfolio optimization mainly seeks tomaximize return and minimize the risk of the portfolio; but there are other importantissues including sustainable development which is important for government/publicsectors. this paper presents a novel credit allocation approach based on portfoliooptimization and investigates the effects of selected indicators of sust...

resource allocation techniques have recently appeared as a widely recognized feature in lte networks. most of existing approaches in resource allocation focus on maximizing network’s utility functions. the great potential of utility function in improving resource allocation and enhancing fairness and mean opinion score (mos) indexes has attracted large efforts over the last few years. in this p...