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Hybrid search and the dial-a-ride problem with transfer scheduling constraints

Schönberger, Jörn - 2015

In a conventional dial-a-ride-system passengers are moved with the same vehicle between their pickup and their drop-off location. In a dial-a-ride-system with transfer, it is possible (or even standard) that passengers change the vehicle once or several times. Transfer Scheduling Constraints...

Persistent link: https://www.econbiz.de/10011300632

A Novel Approach to Image Edge Enhancement Using Particle Swarm Optimization Algorithm for Hybridized Smoothening Filters

Benala, Tirimula Rao; Satapathy, S. C.; Jampala, Sree Durga - 2011

In this Modern era, image transmission and processing plays a major role. It would not be possible to retrieve information from satellite and medical images without the help of Image processing techniques. Image Edge Enhancement is the art of examining images for identifying objects and judging...

Persistent link: https://www.econbiz.de/10014181280

A Component Based Heuristic Search Method with Evolutionary Eliminations

Li, Jingpeng; Aickelin, Uwe; Burke, Edmund - 2016

. The eliminated components are replenished with new ones using a set of constructive heuristics using local optimality …

Persistent link: https://www.econbiz.de/10014125833

Application of Genetic Algorithms to Quantitative Asset Allocation Models

Phillip, Andrew - 2013

This paper discusses the role that Genetic Algorithms (GA) can have in determining asset allocation for multi sector funds. We present an asset allocation model where the investors' utility function departs from the quadratic utility function assumed by the standard Mean-Variance optimisation....

Persistent link: https://www.econbiz.de/10013084579

Combinatorial Optimization Using Artificial Bee Colony Algorithm and Particle Swarm Optimization Supported Genetic Algorithm

Önder, Emrah - 2014

Combinatorial optimization problems are usually NP-hard and the solution space of them is very large. Therefore the set of feasible solutions cannot be evaluated one by one. Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are metaheuristic techniques...

Persistent link: https://www.econbiz.de/10013060468

A Hierarchical Data-Driven Parallel Memetic Algorithm for the Quadratic Assignment Problem

Ismail, Mohamed; Rashwan, Ola - 2023

The quadratic assignment problem (QAP) is one of the most important combinatorial optimization problems in theory and …

Persistent link: https://www.econbiz.de/10014359882

Brain–Computer Interface Channel Selection Optimization Using Meta-Heuristics and Evolutionary Algorithms

Martínez-Cagigal, Víctor; Santamaría-Vázquez, Eduardo; … - 2022

. Evolutionary meta-heuristics, which have demonstrated their usefulness in solving complex problems, have not been fully exploited … for each user and compare it with other existing meta-heuristics; and (2) to establish guidelines for adapting these … designed to the BCI framework, is proposed as well. Results showed that all meta-heuristics outperformed the full set and the …

Persistent link: https://www.econbiz.de/10014241954

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

Mishra, Bhupesh Kumar; Dahal, Keshav; Pervez, Zeeshan; … - In: Decision analytics journal 5 (2022), pp. 1-10

In a disaster scenario, relief items distribution is required as early as possible for the disaster victims to reduce the associated risks. For the distribution tasks, an effective and efficient relief items distribution model is essential to generate relief items distribution schedules to...

Persistent link: https://www.econbiz.de/10014336753

Cuckoo search via Levy flights applied to uncapacitated facility location problem

Mesa, Armacheska; Castromayor, Kris; … - In: Journal of industrial engineering international 14 (2018) 3, pp. 585-592

Facility location problem (FLP) is a mathematical way to optimally locate facilities within a set of candidates to satisfy the requirements of a given set of clients. This study addressed the uncapacitated FLP as it assures that the capacity of every selected facility is finite. Thus, even if...

Persistent link: https://www.econbiz.de/10011888027

Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach

Jafarzadeh, Hassan; Moradinasab, Nazanin; Gerami, Ali - In: Journal of industrial engineering and management : JIEM 10 (2017) 5, pp. 887-918

Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant approach for ordering, has been proposed to solve No-wait two-stage flexible flow shop scheduling problem. Design/methodology/approach: No-wait two-stage flexible flow shop...

Persistent link: https://www.econbiz.de/10011920773