نتایج جستجو برای Multi-objective planning

تعداد نتایج: 818001  

2007
Daniel Bryce, Subbarao Kambhampati,

Probabilistic planning is an inherently multi-objective problem where plans must trade-off probability of goal satisfaction with expected plan cost. To date, probabilistic plan synthesis algorithms have focussed on single objective formulations that bound one of the objectives by making some unnatural assumptions. We show that a multi-objective formulation is not only needed, but also enables u...

1998
Gerry Dozier, Shaun McCullough, Abdollah Homaifar, Loretta Moore,

| This paper introduces a new tournament selection algorithm that can be used for evolutionary path planning systems. The fuzzy tournament selection algorithm (FTSA) described in this paper selects candidate paths (CPs) to be parents and undergo reproduction based on: (1) the euclidean distance of a path from the origin to its destination, (2) the sum of the changes in the slope of a path, and ...

A. Farshbaf Geranmayeh, M. Rabbani, N. Manavizadeh,

Nowadays, the necessity of accurate quantitative decision support methods is becoming a critical subject for managers as rivalry between organizations caused a more fragile economic environment and brand reputation is becoming more important. Furthermore, dealing with incidents after they happened is not accepted by customers anymore. Managers require powerful decision making tools to support t...

Journal: :بین المللی مهندسی صنایع و مدیریت تولید 0
zahra attaei, ahmad makoui,

this paper is a research on the ordering planning of a supply chain with one supplier, multi buyer and multi deteriorating items. items have fixed life time and expire dates. the ordering period is taken as variable and must be computed the proposed models. the problem is studied via two different approaches the first is the joint replenishment, based on the hwang and chew's model [3] and ...

A. Hajizadeh, M. A. Golkar, S. Hosseinzadeh,

This paper presents a multi-objective formulation for optimal siting and sizing of distributed generation (DG) resources in distribution systems in order to minimize the cost of power losses and energy not supplied. The implemented technique is based on a genetic algorithm (GA) and weight method that employed to obtain the best compromise between these costs. Simulation results on 33-bus distri...

In this paper, power distribution planning (PDP) considering distributed generators (DGs) is investigated as a dynamic multi-objective optimization problem. Moreover, Monte Carlo simulation (MCS) is applied to handle the uncertainty in electricity price and load demand. In the proposed model, investment and operation costs, losses and purchased power from the main grid are incorporated in the f...

2016
Diederik M. Roijers,

Decision making is hard. It often requires reasoning about uncertain environments, partial observability and action spaces that are too large to enumerate. In such tasks decisiontheoretic agents can often assist us. In most research on decision-theoretic agents, the desirability of actions and their effects is codified in a scalar reward function. However, many real-world decision problems have...

2014
Ning Liu, David Plets, Wout Joseph, Luc Martens,

In this paper, a novel hybrid algorithm for the optimization of indoor wireless network planning is applied to a polyvalent arts centre. The results of the algorithm are compared with those of a heuristic network planner for three scenarios. Results show that our algorithm is effective for optimization of wireless networks, satisfying maximum coverage, minimal power consumption, minimal cost, a...

2012
Eivind Samuelsen,

One of the main challenges when developing mobile robots is path planning. Efficient and robust algorithms are needed to produce plans for the movements of the robot. Many classical path planning algorithms depend on geometrically simple environments to achieve good performance, otherwise the paths produced tend to be far from ideal especially when the paths are to be optimized for multiple obj...

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