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Article
Design of empty container depot layouts using data and analytics
This paper presents an approach using a combination of data-driven and analytical models to design the layout of empty container depots where top-lifters (TLs) are used. A method to determine the optimum numbe...
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Chapter
Data-Driven Analytical Grocery Store Design
Despite the rise of e-commerce and online channels in the retail industry, brick and mortar stores continue to attract a large volume of customers and operate under high competition. A key element of tradition...
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Article
A tabu search algorithm to solve a green logistics bi-objective bi-level problem
This paper addresses a supply chain situation, in which a company distributes commodities over a selected subset of customers while a manufacturer produces the commodities demanded by the customers. The distri...
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Chapter
An Improved Bat Algorithm with a Dimension-Based Best Bat for Numerical Optimization
The bat algorithm (BA) is a recent swarm intelligence algorithm which can be a powerful tool for numerical optimization. However, the BA and most of its variants rely on a quite elitist strategy where the bat ...
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Chapter
Using Simulation to Improve Container Depot Operations
This chapter will discuss a discrete-event simulation project in terms of both technical development and outcomes, and the effects on the project members involved in terms of lessons learned and professional g...
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Article
Multi-commodity k-splittable survivable network design problems with relays
The network design problem is a well known optimization problem with applications in telecommunication, infrastructure designs and military operations. This paper devises the first formulation and solution met...
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Article
Effects of a Cognitive–Behaviorally Based Physical Activity Treatment for 4- and 5-Year-Old Children Attending US Preschools
Inadequate volumes of physical activity may be associated with the increases in inappropriately high weight in children of 5 years of age and younger. Preschools have typically lacked sufficient time in daily ...
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Reference Work Entry In depth
Neural Networks
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Chapter
Improving Network Connectivity in Ad Hoc Networks Using Particle Swarm Optimization and Agents
In a mobile ad hoc network (MANET) the nodes can serve as both routers and hosts and can forward packets on behalf of other nodes in the network. This functionality allows the MANET to form an instant, autonom...
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Chapter and Conference Paper
Two-Edge Disjoint Survivable Network Design Problem with Relays
In this paper, we study the network design problem with relays considering network survivability. This problem arises in telecommunications and logistic systems. The design problem involves selecting two edge-...
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Chapter
Dynamic Load Balancing Using an Ant Colony Approach in Micro-cellular Mobile Communications Systems
This chapter uses an ant colony meta-heuristic to optimally load balance code divisionmultiple access micro-cellular mobile communication systems. Load balancing is achieved by assigning each micro-cell to a s...
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Chapter
The Ant Colony Paradigm for Reliable Systems Design
This chapter introduces a relatively new meta-heuristic for combinatorial optimization, the ant colony. The ant colony algorithm is a multiple solution global optimizer that iterates to find optimal or near op...
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Chapter
Network Reliability Optimization
This chapter presents design of reliable networks. The exact calculation of any general network reliability measure is NP-hard. Therefore, network designers have been reluctant to use reliability as a design c...
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Article
Optimal Design of Reliable Computer Networks: A Comparison of Metaheuristics
In many computer communications network design problems, such as those faced by hospitals, universities, research centers, and water distribution systems, the topology is fixed because of geographical and phys...
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Article
Estimation of shrinkage for near net-shape using a neural network approach
A neural network approach is presented for the estimation of shrinkage during a hot isostatic pressing (HIP) process of nickel-based superalloys for near net-shape manufacture. For the HIP process, the change ...
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Article
A Seeded Memetic Algorithm for Large Unit Commitment Problems
The paper shows that the use of a memetic algorithm (MA), a genetic algorithm (GA) combined with local search, synergistically combined with Lagrangian relaxation is effective and efficient for solving large u...
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Chapter and Conference Paper
Neural Computing Approach to Shape Change Estimation in Hot Isostatic Pressing
A neural network approach is presented for the estimation of shape change during a Hot Isostatic Pressing (HIP) process of nickel-based superalloys for near net-shape manufacture. For the HIP process, shrinkag...
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Chapter
Design of Production Facilities Using Evolutionary Computing
This chapter discusses the use of genetic algorithms for the design of industrial facilities. Block design of the location of departments or work centers is integrated with the detailed design of aisle structu...
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Article
Integrated facilities design using a contour distance metric
The unequal area facility design problem has been studied in the literature generally by considering block layout separate from detailed design. This paper shows a tractable method for concurrently optimizing ...
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Chapter and Conference Paper
Evolutionary Design of Facilities Considering Production Uncertainty
This paper considers the design of facilities while explicitly incorporating production uncertainty in the form of product quantity expected values and standard deviations. Block layout designs can be optimize...
