Manuel Chica

Manuel Chica
University of Granada | UGR · Department of Computer Science and Artificial Intelligence

PhD Computer Science

About

111
Publications
25,612
Reads
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1,276
Citations
Introduction
Manuel Chica, B.Sc., M.Sc., and PhD (2011) in Computer Science (outstanding PhD Award), is currently Senior Researcher at the the Univ. of Granada, Conjoint at the Univ. of Newcastle, Australia, and CTO at ZIO Analytics. His current research interests include artificial intelligence, agent-based modeling, simulation and optimization, machine learning and complex systems. He is a co-inventor of an international patent under exploitation and published more than 50 papers in JCR-indexed journals.
Additional affiliations
January 2021 - present
The University of Newcastle, Australia
Position
  • Lecturer
June 2018 - present
University of Granada
Position
  • Senior Researcher
April 2017 - present
ZIO Analytics
Position
  • Chief AI Officer

Publications

Publications (111)
Article
Full-text available
We present an evolutionary game model that integrates the concept of tags, trust and migration to study how trust in social and physical groups influence cooperation and migration decisions. All agents have a tag, and they gain or lose trust in other tags as they interact with other agents. This trust in different tags determines their trust in oth...
Article
Full-text available
Many countries worldwide rely on tourism for their economic well-being and development. But with issues such as over-tourism and environmental degradation looming large, there is a pressing need to determine a way forward in a sustainable and mutually rewarding manner. With this motivation, we here propose an asymmetric evolutionary game with mobil...
Article
Full-text available
The spread of COVID-19 and ensuing containment measures have accentuated the profound interdependence among nations or regions. This has been particularly evident in tourism, one of the sectors most affected by uncoordinated mobility restrictions. The impact of this interdependence on the tendency to adopt less or more restrictive measures is hard...
Article
Opinion dynamics investigate the spreading and evolution of opinions among a set of individuals. This is especially relevant in decision-making —the process of selecting an alternative from a set of possible options—, that is commonly based on personal opinions which may evolve along time. In this work, we present a model of opinion dynamics where...
Article
We present an evolutionary trust game to investigate the formation of trust in sharing economy situations, where participants have a fixed provider or consumer role, and can only choose between trustworthy or untrustworthy behaviour. There are a variety of sharing economy platforms catering for differing goods and services, the properties of which...
Article
Full-text available
“Bee pollen” is pollen collected from flowers by honey bees. It is used by the bees to nourish themselves, mainly by providing royal jelly and brood food, but it is also used for human nutrition. For the latter purpose, it is collected at the hive entrance as pellets that the bees bring to the hive. Bee pollen has diverse bioactivities, and thus ha...
Preprint
Full-text available
The spread of COVID-19 and ensuing containment measures have accentuated the profound interdependence among nations or regions. This has been particularly evident in tourism, one of the sectors most affected by uncoordinated mobility restrictions. The impact of this interdependence on the tendency to adopt less or more restrictive measures is hard...
Article
This paper simulates the effect of the strategies implemented by politicians after the terrorists attacks in Madrid on 11 March 2004 on the ideological distance between voters and political parties. The attacks took place three days before the elections and changed the campaign’s agenda, which centered around the issue of who was responsible for th...
Article
This paper presents a computational evolutionary game model to study and understand fraud dynamics in the consumption tax system. Players are cooperators if they correctly declare their value added tax (VAT), and are defectors otherwise. Each player's payoff is influenced by the amount evaded and the subjective probability of being inspected by tax...
Article
Current dynamic markets require manufacturing industries to organize a robust plan to cope with uncertain demand planning. This work addresses the mixed-model multi-manned assembly line balancing under uncertain demand and aims to optimize the assembly line configuration by a robust mixed-integer linear programming (MILP) model and a robust solutio...
Article
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Complex problems can be analyzed by using model simulation but its use is not straight-forward since modelers must carefully calibrate and validate their models before using them. This is specially relevant for models considering multiple outputs as its calibration requires handling different criteria jointly. This can be achieved using automated c...
Article
Calibrating agent-based models involves estimating multiple parameter values. This can be performed automatically using automatic calibration but its success depends on the optimization method’s ability for exploring the parameter search space. This paper proposes to carry out this process using coral reefs optimization algorithms, a new branch of...
Article
The joint optimization of production scheduling and maintenance planning has a significant influence on production continuity and machine reliability. However, limited research considers preventive maintenance (PM) and corrective maintenance (CM) in assembly permutation flow shop scheduling. This paper addresses the bi-objective joint optimization...
Article
Full-text available
The current COVID-19 pandemic has impacted millions of people and the global economy. Tourism has been one the most affected economic sectors because of the mobility restrictions established by governments and uncoordinated actions from origin and destination regions. The coordination of restrictions and reopening policies could help control the sp...
Article
Startup companies boost the quality of everyday life in almost all dimensions, and their products and services are of relevance everywhere. One of the most important goals that startups pursue is to increase the number of their users quickly. Users are of two types, new and returning. The present study presents an agent-based model to simultaneousl...
Article
Full-text available
Purpose This paper aims to fill a gap in the existing literature by answering the following question: is the effect of envy on people's intention to share information the same in offline settings and on online social networks? Design/methodology/approach Two studies demonstrate (1) how envy that results from upward social comparisons affects peopl...
Article
Full-text available
Recent large-scale migration flows from rural areas of the Mekong Delta (MKD) to larger cities in the South-East (SE) region of Vietnam have created the largest migration corridor in the country. This migration trend has further contributed to greater rural–urban disparities and widened the development gap between regions. In this study, our aim is...
Preprint
Full-text available
This paper presents a computational evolutionary game model to study and understand fraud dynamics in the consumption tax system. Players are cooperators if they correctly declare their value added tax (VAT), and are defectors otherwise. Each player's payoff is influenced by the amount evaded and the subjective probability of being inspected by tax...
Article
In the automotive and electronics industries, more than one operator work in the same workstation to assemble a high volume of products. When assigning the tasks of these products to workstations, we should fulfill the cycle time and precedence relationships. Limited research has investigated space restrictions to store tools or components (i.e., t...
Article
Parameterization is one of the most challenging steps in the construction of individual-based models, and it is particularly relevant for the case of Dynamic Energy Budget (DEB) theory given that DEB parameters are mapped to a multimodal fitness landscape. This multimodal fitness landscape could correspond to parameterizations that provide the righ...
Article
We study the impact of climate change induced migration on the evolution of cooperation using an N-player social dilemma game. Players in the population are divided into non-overlapped groups, and they can choose to either cooperate or defect within their group. At the same time, the players are mapped to the nodes of a scale-free network, enabling...
Article
Marketers have an important asset if they effectively target social networks’ influentials. They can advertise products or services with free items or discounts to spread positive opinions to other consumers (i.e., word-of-mouth). However, main research on choosing the best influentials to target is single-objective and mainly focused on maximizing...
Article
Full-text available
In this paper, we present an evolutionary trust game, taking punishment and protection into consideration, to investigate the formation of trust in the so-called sharing economy from a population perspective. This sharing economy trust model comprises four types of players: a trustworthy provider, an untrustworthy provider, a trustworthy consumer,...
Article
Full-text available
Understanding consumer behaviors and how consumers react to marketing campaigns and viral word‐of‐mouth processes is crucial for marketers. Classical approaches try to infer this information from a global top‐down perspective. However, a more suitable and natural approach is to model consumer behaviors in a heterogeneous and decentralized bottom‐up...
Article
The car sequencing problem is a well established problem that models the conflicts arising from scheduling cars into an assembly line. However, the existing approaches to this problem do not consider non-regular or out-of-catalog vehicles, which are commonly manufactured in assembly lines. In this paper, we propose a new problem definition that dea...
Article
Full-text available
Artificial intelligence (AI) has proven to be useful in many applications from automating cars to providing customer service responses. However, though many firms want to take advantage of AI to improve marketing, they lack a process by which to execute a Marketing AI project. This article discusses the use of AI to provide support for marketing de...
Article
Full-text available
Automated calibration methods are a common approach to agent-based model calibration as they can estimate those parameters which cannot be set because of the lack of information. The modeler requires to validate the model by checking the parameter values before the model can be used and this task is very challenging when the model considers two or...
Article
Full-text available
In this paper, we use agent-based modeling (ABM) to study different obstacles to the expansion of contract rice farming in the context of Mekong Delta (MKD)'s rice supply chain. ABM is a bottom-up approach for modeling the dynamics of interactions among individuals and complex combinations of various factors (e.g., economic, social or environmental...
Conference Paper
Full-text available
Migration is one of the many responses humans and societies make to ongoing demographic, economic, societal and environmental changes. In this work, we use agent-based modeling (ABM) to study the dynamics of migration flows across provinces and cities in the Mekong Delta, Vietnam. The strength of ABM is that it allows a bottom-up approach that focu...
Article
Full-text available
Changing conditions and variations in the demand are frequent in real industrial environments. Decision makers have to take into account this uncertainty and manage it properly. One clear example is the automotive industry where manufacturers have to assume an uncertain and heterogeneous demand. For instance, automotive manufacturers must adapt the...
Conference Paper
Full-text available
Resumen-Partiendo de los modelos TSALBP-ergo (Time and Space Assembly Line Balancing Problem with Ergonomic Risk), proponemos 9 métricas para medir la robustez de un equilibrado de línea según sus atributos temporales, espaciales y contingentes. La versión robusta de TSALBP-ergo considera diversos planes de demanda e incluye funciones que miden los...
Conference Paper
Full-text available
Resumen-Car sequencing problem (CSP) es un problema tradicional de satisfacción de restricciones que refleja los problemas que surgen cuando una serie de vehículos se introducen en una cadena de producción. Sin embargo no considera vehículos no regulares o fuera de catálogo, pese a que en plantas reales pueden llegar a representar entre el 10 % y e...
Data
Appendices for “Managerial and industrial benefits of using robust multiobjective optimization for balancing an automotive assembly line”
Chapter
Image registration (IR) involves the transformation of different sets of image data having a shared content into a common coordinate system. To achieve this goal, the search for the optimal correspondence is usually treated as an optimization problem. The limitations of traditional IR methods have boomed the application of metaheuristic-based appro...
Article
Full-text available
In medical imaging there is a special interest in relating information from different images frequently used for diagnosis or treatment. Image registration (IR) involves the transformation of different sets of image data having a shared content into a common coordinate system. The estimation of the optimal transformation is modelled either as a com...
Article
Full-text available
The reliability estimation of engineered components is fundamental for many optimization policies in a production process. The main goal of this paper is to study how machine learning models can fit this reliability estimation function in comparison with traditional approaches (e.g., Weibull distribution). We use a supervised machine learning appro...
Article
Full-text available
We investigate the effects of update rules on the dynamics of an evolutionary game-theoretic model - the N-player evolutionary trust game - consisting of three types of players: investors, trustworthy trustees, and untrustworthy trustees. Interactions between players are limited to local neighborhoods determined by predefined spatial or social netw...
Article
Full-text available
Trust and trustworthiness are of great importance in social and human systems, especially when considering managerial and economic decision-making. In this paper, we investigate the emergent dynamics of an evolutionary game-theoretic model – the N-player evolutionary trust game – consisting of three types of players: an investor, a trustee who is t...
Conference Paper
Full-text available
We present a contract farming model in the context of rice supply chain in the Mekong Delta, Vietnam, with the use of agent-based simulation. The purpose of the simulation is to understand the motivation of farmers and contractors in their participation into the contract rice farming scheme. The decision-making process is based on two main factors:...
Article
Full-text available
Marketers must constantly decide how to implement word-of-mouth (WOM) programs, and a well-developed decision support system (DSS) can provide them valuable assistance in doing so. The authors propose an agent-based framework that aggregates social network-level individual interactions to guide the construction of a successful DSS for WOM. The fram...
Chapter
Full-text available
Freemium apps are creating new marketing scenarios, encouraging product adoption through customer-to-customer interaction. Agent-based models have become a useful tool for helping marketers to understand social dynamics in freemium apps. However, the parameters of these models need to be calibrated using real data in order to adjust its behaviour t...
Technical Report
Full-text available
Partiendo del Car Sequencing Problem (CSP), introducimos el concepto demanda parcial incierta a través de la incorporación de Flotas de vehículos especiales en un plan de demanda. Tras resaltar las peculiaridades de una Flota y establecer las hipótesis de trabajo, proponemos un modelo de programación lineal entera mixta orientado a satisfacer el má...
Article
Full-text available
Marketers have to make decisions on how to implement word-of-mouth (WOM) programs and a well-developed decision support system (DSS) can provide them with valuable assistance. The authors propose an agent-based framework that aggregates social network-level individual interactions to guide the construction of a successful DSS for WOM. The framework...
Data
Full-text available
Brands are one of the most important of a firm's assets. Brand-managing activities are typically related to brand positioning and integration with marketing campaigns, and can involve complex decisions. The branding of an organization is indeed a dynamic system with many cause-effect relationships as well as intangible and heterogeneous variables....
Article
Brands are one of the most important of a firm's assets. Brand-managing activities are typically related to brand positioning and integration with marketing campaigns, and can involve complex decisions. The branding of an organization is indeed a dynamic system with many cause-effect relationships as well as intangible and heterogeneous variables....
Article
Changes in demand when manufacturing different products require an optimization model that includes robustness in its definition and methods to deal with it. In this work we propose the r-TSALBP, a multiobjective model for assembly line balancing to search for the most robust line configurations when demand changes. The robust model definition cons...
Conference Paper
Full-text available
Robust optimization tries to find flexible solutions when solving problems with uncertain scenarios and vague information. In this paper we present a multiobjective evolutionary algorithm to solve robust multiobjective ptimization problems. This algorithm is a novel adaptive method able to evolve separate populations of robust and non-robust soluti...
Article
Full-text available
An appropriate visualization of multiobjective non-dominated solutions is a valuable asset for decision making. Although there are methods for visualizing the solutions in the design space, they do not provide any information about their relationship. In this work, we propose a novel methodology that allows the visualization of the non-dominated so...
Article
Full-text available
We present a complete methodology for authenticating local bee pollen against fraudulent samples using image processing and machine learning techniques. The proposed standard methods do not need expensive equipment such as advanced microscopes and can be used for a preliminary fast rejection of unknown pollen types. The system is able to rapidly re...
Article
Full-text available
In this contribution, we propose an interactive multicriteria optimisation framework for the time and space assembly line balancing problem. The framework allows decision maker interaction by means of reference points to obtain the most interesting non-dominated solutions. The principal components of the framework are the g -dominance preference sc...