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Bi-objective Study of Public Transport Operation in Smart Cities to Minimize On-Board Passenger Traveling Time and Stop Passenger Delay
In existing bus operation systems, the on-board passenger delay is always neglected. With the aim to make the trade-off between stop passengers and...
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A discrete squirrel search optimization based algorithm for Bi-objective TSP
This paper presents a novel discrete squirrel search optimization algorithm for the bi-objective traveling salesman problem (TSP). Firstly, the...
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Adaptive Weighted Sum Bi-objective Bat for Regression Testing Optimization
Regression testing is a type of testing carried out during the software maintenance phase, to confirm the validity of a software system after any...
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An efficient bi-objective approach for dynamic economic emission dispatch of renewable-integrated microgrids
To overcome the challenges of conventional power systems, such as increasing power demand, requirements of stability and reliability, and increasing...
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Global Localization of Unmanned Ground Vehicles Using Swarm Intelligence and Evolutionary Algorithms
Mobile robot localization is a complex task, specially in unstructured indoor environments, due to noise and wrong scan-to-map association. The...
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Genetic algorithm based bi-objective optimization of sigmoidal utility and throughput in ad-hoc wireless networks
With the rapid growth of ad-hoc wireless technology amidst the huge demands of high data-rates, the simultaneous optimization of overall networking...
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Autoencoder evolutionary algorithm for large-scale multi-objective optimization problem
Multi-objective optimization problems characterized by a substantial number of decision variables, which are also called large-scale multi-objective...
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On the Optimization of Systems Using AI Metaheuristics and Evolutionary Algorithms
In this chapter, evolutionary computation techniques, algorithms and research are presented for the optimization and allocation problems. Several...
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Novel Strategies for Data-Driven Evolutionary Optimization
Novel learning algorithms like Evolutionary Neural Net (EvoNN), Bi-objective Genetic Programming (BioGP), and Evolutionary Deep Neural Net (EvoDN2)...
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A bi-objective multi-population biased random key genetic algorithm for joint scheduling quay cranes and speed adjustable vehicles in container terminals
This work formulates a mixed-integer linear programming (MILP) model and proposes a bi-objective multi-population biased random key genetic algorithm...
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Evolutionary multi-objective optimization for RIS-aided MU-MISO communication systems
We study a multi-user multiple-input single-output downlink system aided by a reconfigurable intelligent surface (RIS). Users’ sum rate and transmit...
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Expensive many-objective evolutionary optimization guided by two individual infill criteria
Recently, surrogate-assisted multi-objective evolutionary algorithms have achieved much attention for solving computationally expensive...
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Bi-Objective Adaptive Large Neighborhood Search Algorithm for the Healthcare Waste Periodic Location Inventory Routing Problem
There has been an unexpected increase in the amount of healthcare waste during the COVID-19 pandemic. Managing healthcare waste is vital, as improper...
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Constrained many-objective evolutionary algorithm based on adaptive infeasible ratio
Constrained many-objective optimization problems (CMaOPs) pose great challenges for evolutionary algorithms to reach an appropriate trade-off of...
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Bioinformatics with Evolutionary Computation
This chapter makes the presumption that it is more important to understand the domain of the problem of interest and to pursue the best achievable...
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A Bi-objective Genetic Algorithm for Wireless Sensor Network Optimization
When designing a wireless sensor network several performance metrics should be considered, e.g., network lifetime, target coverage, sensor energy...
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Surrogate-assisted evolutionary optimisation: a novel blueprint and a state of the art survey
Surrogate-Assisted Evolutionary Optimisation algorithms are a specialized brand of optimisers developed to undertake problems with computationally...
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Bi-objective scheduling algorithm for scientific workflows on cloud computing platform with makespan and monetary cost minimization approach
Scheduling of scientific workflows on hybrid cloud architecture, which contains private and public clouds, is a challenging task because schedulers...
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A novel multi-objective bi-level programming problem under intuitionistic fuzzy environment and its application in production planning problem
This paper presents an optimization method to solve a multi-objective model of a bi-level linear programming problem with intuitionistic fuzzy...
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A Robust Bi-objective Optimization Model for Resource Levelling Project Scheduling Problem with Discounted Cash Flows
Due to limited financial resources and high costs of infrastructure projects, project stakeholders seek to gain maximum profits with optimal resource...