Multi-objective optimization methods and application in energy saving
Multi-objective optimization problems are difficult to solve in that the optimized objectives are
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …
Multiobjective evolutionary algorithms: A survey of the state of the art
A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …
The defect of the Grey Wolf optimization algorithm and its verification method
P Niu, S Niu, L Chang - Knowledge-Based Systems, 2019 - Elsevier
Grey wolf optimization algorithm (GWO) is a new meta-heuristic optimization technology. Its
principle is to imitate the behavior of grey wolves in nature to hunt in a cooperative way …
principle is to imitate the behavior of grey wolves in nature to hunt in a cooperative way …
A systematic review of urban form generation and optimization for performance-driven urban design
To address the increased energy demands and carbon emissions caused by global
urbanization, it is imperative to seek high-performance urban design solutions. Urban form …
urbanization, it is imperative to seek high-performance urban design solutions. Urban form …
Multi-objective optimization of machining parameters considering energy consumption
Q Wang, F Liu, X Wang - The International Journal of Advanced …, 2014 - Springer
This paper deals with multi-objective optimization of machining parameters for energy
saving. Three objectives including energy, cost, and quality are considered in the …
saving. Three objectives including energy, cost, and quality are considered in the …
The wolf colony algorithm and its application
C Liu, X Yan, C Liu, H Wu - Chinese Journal of Electronics, 2011 - ieeexplore.ieee.org
The paper proposes the wolf colony algorithm that simulates the intelligent predatory
behaviors of the wolf colony to solve the optimization problem. The solution in the searching …
behaviors of the wolf colony to solve the optimization problem. The solution in the searching …
An optimization method for energy-conscious production in flexible machining job shops with dynamic job arrivals and machine breakdowns
With rising energy prices and environmental concerns, reduction of energy consumption has
become a critical manufacturing focus. One appropriate way to reduce energy consumption …
become a critical manufacturing focus. One appropriate way to reduce energy consumption …
Integrated scheduling problem for earth observation satellites based on three modeling frameworks: an adaptive bi-objective memetic algorithm
With the number of on-orbit earth observation satellites (EOSs) increases, satellite image
data downlink scheduling problem is becoming the bottleneck for restricting EOSs to capture …
data downlink scheduling problem is becoming the bottleneck for restricting EOSs to capture …