Fitness for Solving SMCP Using Evolutionary Algorithm

the algorithm for solving the inverse numerical range problem

برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.

Solving Multiobjective Optimization Problems using Evolutionary Algorithm

Being capable of finding a set of pareto–optimal solutions in a single run, which is a necessary feature for multi–criteria decision making, Evolutionary Algorithms (EAs) has attracted many researchers and practitioners to address the solution of Multiobjective Optimization Problems (MOPs). In a previous work, we developed a Pareto Differential Evolution (PDE) algorithm to handle multiobjective...

Solving ‎‎‎Multi-objective Optimal Control Problems of chemical ‎processes ‎using ‎Hybrid ‎Evolutionary ‎Algorithm

Evolutionary algorithms have been recognized to be suitable for extracting approximate solutions of multi-objective problems because of their capability to evolve a set of non-dominated solutions distributed along the Pareto frontier‎. ‎This paper applies an evolutionary optimization scheme‎, ‎inspired by Multi-objective Invasive Weed Optimization (MOIWO) and Non-dominated Sorting (NS) strategi...

A Fitness Inheritance Evolutionary Algorithm for Solving Bi-criteria Flexible Process Sequencing Problems

This paper describes a novel fitness inheritance evolutionary algorithm for solving bi-criteria flexible process sequencing problems in flexible manufacturing systems (FMSs). FMS can be described as an integrated manufacturing system consisting of machines, computers, robots, and automated guided vehicles (AGVs). While FMSs give great advantages through the flexibility, FMSs pose complex proble...

An Evolutionary Algorithm for solving theS hool