Spatial optimization for land acquisition problems: A review of models, solution methods, and GIS support
This article reviews the interdisciplinary research field of spatial optimization for land
acquisition problems. We start with a theoretical framework to identify three categories of …
acquisition problems. We start with a theoretical framework to identify three categories of …
Improved biogeography-based optimization using migration process adjustment: An approach for location-allocation of ambulances
M Kaveh, MS Mesgari - Computers & Industrial Engineering, 2019 - Elsevier
Emergency centers are noticeably necessary for all societies, and allocation population to
such centers is an important optimization issue in urban planning. This paper investigates …
such centers is an important optimization issue in urban planning. This paper investigates …
A new model for maximal coverage exploiting GIS capabilities
G Alexandris, I Giannikos - European Journal of Operational Research, 2010 - Elsevier
The representation of demand is a key issue which can significantly affect results in several
demand covering models. In this paper we concentrate on the well known Maximal …
demand covering models. In this paper we concentrate on the well known Maximal …
Solving a new variant of the capacitated maximal covering location problem with fuzzy coverage area using metaheuristic approaches
Abstract The Maximal Covering Location Problem (MCLP) is concerned with the optimal
placement of a fixed number of facilities to cover the maximum number of customers. This …
placement of a fixed number of facilities to cover the maximum number of customers. This …
Solving maximal covering location problem using genetic algorithm with local refinement
The maximal covering location problem (MCLP) deals with the problem of finding an optimal
placement of a given number of facilities within a set of customers. Each customer has a …
placement of a given number of facilities within a set of customers. Each customer has a …
A hybrid method for the probabilistic maximal covering location–allocation problem
This paper presents a hybrid algorithm that combines a metaheuristic and an exact method
to solve the Probabilistic Maximal Covering Location–Allocation Problem. A linear …
to solve the Probabilistic Maximal Covering Location–Allocation Problem. A linear …
An improved harmony search algorithm using opposition-based learning and local search for solving the maximal covering location problem
S Atta - Engineering Optimization, 2024 - Taylor & Francis
In this article, an improved harmony search algorithm (IHSA) that utilizes opposition-based
learning is presented for solving the maximal covering location problem (MCLP). The MCLP …
learning is presented for solving the maximal covering location problem (MCLP). The MCLP …
Intelligent-guided adaptive search for the maximum covering location problem
Computational intelligence techniques are part of the search process in several recent
heuristics. One of their main benefits is the use of an adaptive memory to guide the search …
heuristics. One of their main benefits is the use of an adaptive memory to guide the search …
A multi-objective formulation of maximal covering location problem with customers' preferences: Exploring Pareto optimality-based solutions
The maximal covering location problem (MCLP) is a well-known combinatorial optimization
problem with several applications in emergency and military services as well as in public …
problem with several applications in emergency and military services as well as in public …
An improved fusion crossover genetic algorithm for a time-weighted maximal covering location problem for sensor siting under satellite-borne monitoring
K Wang, Y Gong, Y Peng, C Hu, N Chen - Computers & Geosciences, 2020 - Elsevier
Traditional location problems usually focus on spatial and temporal impacts of facilities, but
few studies have focused on sensor siting under satellite-borne monitoring in a space …
few studies have focused on sensor siting under satellite-borne monitoring in a space …