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Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems
This paper presents a bi-indicator-based surrogate-assisted evolutionary algorithm (BISAEA) for multi-objective optimization problems (MOPs) with...
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A Bi-objective Evolutionary Algorithm to Improve the Service Quality for On-Demand Mobility
This work aims at improving the quality of the service provided to the customers within real-life and customized demand-responsive transportation...
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The bi-objective prize collecting traveling backpacker problem for planning flight itineraries
Low-cost airlines have become increasingly popular in Europe as they offer affordable air travel for tourists on a budget who want to visit different...
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Bi-objective Optimization for Resource-constrained Robust Construction Project Scheduling
Construction projects are often executed in complex environments, and various uncertain factors (e.g., bad weather, machine breakdown) prolong...
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On a bi-objective distributed permutation flow shop problem with batch processing machines
This paper is devoted to a bi-objective distributed permutation flow shop problem with batch processing machines. We provide an industrial example...
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Socio-inspired evolutionary algorithms: a unified framework and survey
It is well recognized that human societies and their problem-solving capabilities have evolved much faster than biological evolution. The inspiration...
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Dynamic Evacuation Path Planning for Multi-Exit Building Fire: Bi-Objective Model and Algorithm
Building fires are one of the most common fire types and tend to cause heavy casualties. During the evacuation, the shortest path makes the escapees...
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A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion
Surrogate-assisted many-objective optimization is to locate Pareto optimal solutions using a limited number of function evaluations. Most existing...
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An improved bi-objective salp swarm algorithm based on decomposition for green scheduling in flexible manufacturing cellular environments with multiple automated guided vehicles
Energy-awareness in the industrial sectors has become a global consensus in recent decades. Green scheduling is acknowledged as an effective weapon...
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Simultaneous optimization of design and maintenance for systems using multi-objective evolutionary algorithms and discrete simulation
When projecting and building new industrial facilities, getting integrated design alternatives and maintenance strategies are of critical importance...
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Quantum-inspired evolutionary algorithms on continuous space multiobjective problems
Multiobjective optimization has a wide range of applications in science and engineering. Various multiobjective optimization algorithms work fine for...
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An Overview of Simulation-Based Multi-objective Evolutionary Algorithms
This overview is a recent literature on simulation-based multi-objective evolutionary algorithms (SMOEAs) capable of handling stochastic multiple...
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Last-mile drone delivery combinatorial double auction model using multi-objective evolutionary algorithms
This study proposes a combinatorial double auction bi-objective winner determination problem for last-mile delivery using drone. Prior studies are...
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Bi-objective Optimization of RCPSP under Time-of-use Electricity Tariffs
In recent years, to alleviate the peak load of the power grid, many countries have implemented time-of-use (TOU) electricity tariffs. When both...
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Infectious Disease Modeling: From Traditional to Evolutionary Algorithms
The recent worldwide catastrophe named COVID-19 has motivated experts from various fields to contribute to tackling the situation, such as by...
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A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization
This paper presents a novel surrogate-assisted evolutionary algorithm, CSMOEA, for multi-objective optimization problems (MOPs) with computationally...
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A hybrid multi-objective bi-level interactive fuzzy programming method for solving ECM-DWTA problem
Electronic countermeasure (ECM) has become one of the most significant factors in modern warfare, in the course of combat, the electronic jamming...
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Bi-objective cloud resource management for dependent tasks using Q-learning and NSGA-3
Efficient management of cloud resources for more resource utilization on the one hand, and reducing the makespan on the other hand, has always been...
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Performance Analysis of 5 G Wireless Hybrid Precoding Using Evolutionary Algorithms
Emerging 5G communication solutions utilize the millimeter wave (mmWave) band to alleviate the spectrum deficit. In the mmWave range, Multiple Input...
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A reactive path relinking algorithm for solving the bi-objective p-Median and p-Dispersion problem
This paper deals with an interesting facility location problem known as the bi-objective p -Median and p -Dispersion problem ( BpMD problem). The BpMD ...
