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Review

2019

Review

2019

Abstract In population-based optimization algorithms (POAs), given an optimization problem, the quality of the solutions depends… Expand

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Highly Cited

2014

Highly Cited

2014

This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm… Expand

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Highly Cited

2009

Highly Cited

2009

In this paper, we intend to formulate a new meta-heuristic algorithm, called Cuckoo Search (CS), for solving optimization… Expand

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Highly Cited

2007

Highly Cited

2007

We present a unified heuristic which is able to solve five different variants of the vehicle routing problem: the vehicle routing… Expand

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Highly Cited

2006

Highly Cited

2006

Abstract.We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and… Expand

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Highly Cited

2001

Highly Cited

2001

Many optimization problems in various fields have been solved using diverse optimization al gorithms. Traditional optimization… Expand

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Highly Cited

2000

Highly Cited

2000

The growing interest in Structured Equation Modeling (SEM) techniques and recognition of their importance in IS research suggests… Expand

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Highly Cited

1994

Highly Cited

1994

This book on scheduling covers theoretical models as well as scheduling problems in the real world. Author Michael Pinedo also… Expand

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Highly Cited

1989

Highly Cited

1989

This paper presents the fundamental principles underlying tabu search as a strategy for combinatorial optimization problems. Tabu… Expand

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Highly Cited

1978

Highly Cited

1978

LetN be a finite set andz be a real-valued function defined on the set of subsets ofN that satisfies z(S)+z(T)≥z(S⋃T)+z(S⋂T) for… Expand

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